Anti-obesity medication for weight loss in early nonresponders to behavioral treatment: a randomized controlled trial.
Tronieri JS, Ghanbari E, Chevinsky J, LaFata EM, Minnick AM, Rajpal S, Wang SY, Burcaw K, Berkowitz RI, Wadden TA
- DOI
- 10.1038/s41591-025-03556-3
- Record issued
- 2026-08-15
- Engine
- 7.39.0
- Exported
- 2026-09-20
Prepared by Alpha1. This document is confidential: it is intended for the recipient it was shared with and must not be redistributed. The live record at alpha1science.com/verify/261ca55e-e170-4222-a819-fc98c2c15307 is authoritative.
How this rating was calculated
- IntegrityIntegrity concern ×3−1.5★
- ClaimsEfficacy rests on an unvalidated surrogate endpoint−0.5★
- ClaimsTreatment effect not shown to be clinically meaningful−0.5★
- 01Efficacy rests on an unvalidated surrogate endpoint
The primary efficacy claim is based on weight loss percentage, which is a surrogate endpoint for clinical outcomes such as cardiovascular morbidity and mortality. The paper does not demonstrate target engagement at the tested dose (e.g., PK/PD data) nor cite validated evidence linking weight loss to hard clinical outcomes in this specific context.
“The primary outcome was met; early nonresponders assigned to BT + AOM had a greater mean (±s.e.) reduction in weight of 5.9 ± 0.7% from randomization to week 24, as compared to 2.8 ± 0.7% for those assigned to BT + P”
- 02Treatment effect not shown to be clinically meaningful
The reported effect size is a 3.1 percentage point difference in weight loss between groups, which is statistically significant but not anchored to a minimal clinically important difference or a clear biological/clinical meaningfulness threshold. The paper mentions that a ≥5% weight loss is clinically meaningful, but the between-group difference is below this threshold.
“mean difference = 3.1 ± 1.0, 95% confidence interval = 1.1–5.1%, Cohen’s d = 0.73, P = 0.003”
This Kaimen Rigor review uses Kaimen Rigor reviewers trained on a curated corpus of high-fidelity and retracted papers, with expert supervision and curation. It can still make mistakes; verify each finding against the source before relying on it.
This is a well-conducted and transparently reported double-blind RCT evaluating phentermine added to behavioral treatment in early nonresponders. The study design is rigorous with adequate randomization, blinding, power analysis, and pre-specified criteria. Minor reporting inconsistencies (e.g., Cohen's d discrepancy) and a few clarity issues are present but do not undermine the overall integrity.
Both reviewers classified the study as interventional (RCT), and this was adopted. The evaluation covered the full text, with all eight dimensions applicable. Not-applicable sub-criteria (e.g., animal housing, cell line authentication) were excluded. The statistics verification covered only 3 tests; other reported statistics were not machine-verified and should not be assumed correct.
Numerical inconsistencies
1 finding · worst lowValues that contradict each other or are impossible for the stated sample: recomputed p-values and test statistics, GRIM/GRIMMER checks on summary numbers, percentages against their own counts, totals against their parts, and estimates against their own confidence intervals.
- Internal contradictions in the reported numbersAssessed
Recomputed 3 tests: 3 consistent, 0 inconsistent; 3 via agent-written checks.
- CONSISTENTreported p = .003 · recomputed p = .002Reviewer 1Primary outcome p-value from mean difference and CI
“mean difference = 3.1 ± 1.0, 95% confidence interval = 1.1–5.1%, Cohen’s d = 0.73, P = 0.003”
Taken as given: The mean difference is 3.1 and the 95% CI is 1.1 to 5.1.; The CI is two-sided at 95%.; The p-value is two-tailed.Method: Recomputed p-value from the estimate and 95% CI using the normal approximation.How we recomputed it: pCI(3.1, 1.1, 5.1, 0) - CONSISTENTreported p = .012 · recomputed p = .009Reviewers 1, 2Secondary outcome chi-square p-value for ≥5% weight loss
“53.9% of BT + AOM participants lost ≥5% of body weight compared to 25.3% of participants assigned to BT + P ( χ2(1) = 6.32, P = 0.012)”
Taken as given: The percentages are based on the randomized groups of 38 each.; The counts are 20 (53.9% of 38) and 9 (25.3% of 38).; The chi-square test is two-sided with 1 degree of freedom.Method: Recomputed Pearson chi-square p-value from the 2x2 table of counts.How we recomputed it: pChi2x2(20, 18, 9, 29) - CONSISTENTreported p = .003 · recomputed p = .002Reviewer 2Primary outcome: difference in percent weight loss between groups (from randomization) - p-value from mixed model.
“mean difference = 3.1 ± 1.0, 95% confidence interval = 1.1–5.1%, Cohen’s d = 0.73, P = 0.003”
Taken as given: The estimate is the mean difference (3.1) and the 95% CI is (1.1, 5.1).; The CI is two-sided at 95%.; The p-value is two-tailed.Method: Recomputed two-tailed p from estimate and 95% CI using normal approximation.How we recomputed it: pCI(3.1, 1.1, 5.1, 0)
- lowinternal contradictionThe text states that 76 early nonresponders were randomized, but the CONSORT diagram and Table 1 show 76, which is consistent. However, the text mentions '16 participants did not enroll in phase 2, leaving 131 who did' but earlier says 147 enrolled in phase 1, and 5 were removed due to COVID, leaving 142, and 11 more were excluded, leaving 131. This is consistent.
“Sixteen participants did not enroll in phase 2, leaving 131 who did.”
ResultsFind in source - lowinternal contradictionThe number of participants missing vitals is described as 14 nonresponders (18.4%) and later as 8 (10.5%) attributable to noncompletion, with 19 (25%) missing due to COVID-19; these numbers may overlap.
Vitals were missing for the 14 nonresponders (18.4%) who completed only remote measures... An additional three early nonresponders elected to complete the week-24 assessment remotely after our site reopened. Thus, a total of eight (10.5%) nonresponders had missing vitals and laboratory outcomes that were attributable to noncompletion...
Resultsreviewer’s wording - lowinternal contradictionThe abstract reports Cohen's d = 0.73 for the primary outcome, while Table 2 reports d = 0.72 for the same comparison.
Cohen’s d = 0.73 (Abstract) vs 0.72 (Table 2)
Table 2reviewer’s wording
Overstated conclusions
3 findings · worst highConclusions that reach past what the paper's own results support — including a significance claim that no longer holds when the statistic is recomputed, and efficacy resting on an unvalidated surrogate endpoint.
- Efficacy rests on an unvalidated surrogate endpointAssessed
- Treatment effect not shown to be clinically meaningfulAssessed
- Conclusions only partially backed by the presented evidenceAssessed
6 major claims checked against the paper's own evidence: 1 only partially supported (evidence backs part of the claim; gaps or caveats remain); the rest adequately supported.
- partialReviewer 2AOMs can be introduced early in treatment once lack of response to behavioral intervention has been observed rather than waiting ≥6 months to modify therapy.The study shows benefit of early introduction, but long-term outcomes and comparison to later introduction are not tested, so the claim is partially supported.Evidence: The trial introduced AOM at week 4 and showed benefit, but no comparison to delayed introduction.
“They also suggest that AOMs can be introduced early in treatment once lack of response to behavioral intervention has been observed rather than waiting ≥6 months to modify therapy.”
Discussion ¶1Find in source - supportedReviewers 1, 2Stepping up early BT nonresponders to BT + AOM improves their 24-week weight loss.The primary outcome showed a significantly greater weight loss in the AOM group, supporting the claim.Evidence: Primary outcome: mean difference = 3.1%, 95% CI = 1.1–5.1%, P = 0.003.
“Stepping up early BT nonresponders to BT + AOM improves their 24-week weight loss.”
AbstractFind in source - supportedReviewers 1, 2The addition of AOM more than doubled the mean weight loss at 24 weeks postrandomization.The mean weight loss was 5.9% in AOM vs 2.8% in placebo, which is more than double.Evidence: Primary outcome: 5.9% vs 2.8%.
the addition of the AOM, phentermine of 15.0 mg d−1, more than doubled the mean weight loss at 24 weeks postrandomization
Discussion ¶1reviewer’s wording - supportedReviewers 1, 2Only 25.3% of early nonresponders achieved ≥5% weight loss with standard care, whereas over half (53.9%) achieved it with AOM.These percentages are reported in the secondary outcomes and are consistent.Evidence: Secondary outcome: 53.9% vs 25.3%, chi-square P = 0.012.
“Only 25.3% of early nonresponders achieved a weight loss of ≥5% from randomization to week 24 with the current standard of care of 6 months of intensive BT (with placebo), whereas over half (53.9%) achieved this target when AOM was added.”
Discussion ¶1Find in source - supportedReviewers 1, 2The results strongly support clinical guidelines that recommend the addition of AOMs for patients who do not achieve clinically meaningful weight loss with BT alone.The trial provides direct evidence for this recommendation.Evidence: Primary and secondary outcomes show benefit of AOM.
“The present results strongly support clinical guidelines that recommend the addition of AOMs for patients who do not achieve clinically meaningful weight loss with BT alone”
Discussion ¶1Find in source - supportedReviewer 1Phentermine-treated participants experienced larger-than-expected mean increases in systolic and diastolic BP.The increase in systolic BP was significant, and diastolic BP increased, though not significantly.Evidence: Systolic BP increased by 6.6 mm Hg (P=0.007), diastolic by 4.9 mm Hg (P=0.166).
“phentermine-treated participants experienced larger-than-expected mean increases from randomization in systolic and diastolic BP of 6.6 and 4.9 mm Hg, respectively.”
Discussion ¶5Find in source
Premise concern: surrogate not validated for clinical benefit; effect size not shown to be clinically meaningful.
- INADEQUATESurrogate endpointThe primary efficacy claim is based on weight loss percentage, which is a surrogate endpoint for clinical outcomes such as cardiovascular morbidity and mortality. The paper does not demonstrate target engagement at the tested dose (e.g., PK/PD data) nor cite validated evidence linking weight loss to hard clinical outcomes in this specific context.
“The primary outcome was met; early nonresponders assigned to BT + AOM had a greater mean (±s.e.) reduction in weight of 5.9 ± 0.7% from randomization to week 24, as compared to 2.8 ± 0.7% for those assigned to BT + P”
- INADEQUATEEffect sizeThe reported effect size is a 3.1 percentage point difference in weight loss between groups, which is statistically significant but not anchored to a minimal clinically important difference or a clear biological/clinical meaningfulness threshold. The paper mentions that a ≥5% weight loss is clinically meaningful, but the between-group difference is below this threshold.
“mean difference = 3.1 ± 1.0, 95% confidence interval = 1.1–5.1%, Cohen’s d = 0.73, P = 0.003”
Data authenticity concerns
None foundAn adversarial read for patterns associated with data that may not be genuine: results that look too clean, implausibly large effects, duplicated data or images, and methods that do not match the results reported.
Checked — nothing surfaced.
Reporting gaps
None foundRequired detail the manuscript never states — study design, biological variables, ethics approval and consent, key resources, statistical reporting, data and code availability, and overall transparency.
Checked — nothing surfaced.
The introduction cites multiple studies on behavioral treatment, early nonresponse, and anti-obesity medications, and clearly identifies the gap: no randomized trial has tested adding AOM to BT in early nonresponders. The rationale is well-articulated, and the study directly addresses this gap. Limitations of prior work are acknowledged, such as the lack of studies on rapid step-up approaches.
“To our knowledge, no studies have investigated whether a rapid step-up approach improves weight loss in early nonresponders who are already receiving 6 months of intensive BT.”
“Remarkably, the recommendation to offer AOM to individuals who are unable to successfully lose weight with BT alone has never been tested in a randomized trial.”
“To our knowledge, no studies have investigated whether a rapid step-up approach improves weight loss in early nonresponders who are already receiving 6 months of intensive BT.”
“Remarkably, the recommendation to offer AOM to individuals who are unable to successfully lose weight with BT alone has never been tested in a randomized trial.”
The trial is described as double-blind, randomized, with permuted blocks and random number tables. Blinding is stated (double-blind). A priori power calculation is provided. Inclusion/exclusion criteria are detailed. The analysis population (ITT) and missing data handling (mixed models, multiple imputation) are described. The study is a single-center RCT, and independent replication is not applicable for a single pivotal trial.
“was a single-center, double-blinded, parallel-group design randomized controlled trial”
“a randomized sample of 50 nonresponders (25 per group) was expected to provide 81.5% power to detect between-group differences at week 24 in the primary outcome (two-tailed α level = 0.05).”
“was a single-center, double-blinded, parallel-group design randomized controlled trial”
“a randomized sample of 50 nonresponders (25 per group) was expected to provide 81.5% power to detect between-group differences at week 24 in the primary outcome (two-tailed α level = 0.05).”
The paper reports sex (predominantly female), age, weight, BMI, and race/ethnicity for the run-in cohort and the randomized groups. Since both sexes are enrolled, sex_justified is not applicable. Health status is partially reported via exclusion criteria and baseline characteristics. Species/strain and housing conditions are not applicable for a human trial.
“Sex (female), n (%) | 66 (86.8%) | 30 (78.9%) | 36 (94.7%)”
“The 147 participants who passed the screening and enrolled in the 4-week BT run-in were predominantly female (87.1%, n = 128); 80 (54.5%) self-identified as white, 57 (38.8%) as Black and 5 (3.4%) as Asian; 7 (4.8%) identified as Hispanic.”
The study was approved by the University of Pennsylvania IRB, and written informed consent was obtained. Compliance with ethical standards is implied through IRB approval and trial registration.
“conducted at the University of Pennsylvania, whose institutional review board approved the study protocol”
“who obtained written informed consent and assessed applicants’ behavioral and psychological eligibility.”
“conducted at the University of Pennsylvania, whose institutional review board approved the study protocol”
“who obtained written informed consent and assessed applicants’ behavioral and psychological eligibility.”
“ClinicalTrials.gov registration: NCT03779048”
Phentermine is identified by name, dose, and manufacturer (not explicitly, but the drug is well-known). The study uses a digital scale (Tanita, BWB800) and home scales (EatSmart, ESBS-01). Statistical software (SPSS, R) is identified. No antibodies, cell lines, or other biological reagents are used, so those criteria are not applicable.
“Analyses were conducted in SPSS Statistics v.28.0.1.1.”
“Analyses were conducted in SPSS Statistics v.28.0.1.1.”
The primary analysis uses mixed-effects models, which are appropriate for repeated measures. Tests are named (mixed-effects models, chi-square). Exact p-values are reported (e.g., P = 0.003). Effect sizes with confidence intervals are provided (e.g., mean difference = 3.1 ± 1.0, 95% CI = 1.1–5.1%). Software is identified. Data presentation includes individual data points in waterfall plots and error bars defined. Mathematical plausibility checks were not performed due to continuous outcomes and model-derived estimates.
“mean difference = 3.1 ± 1.0, 95% confidence interval = 1.1–5.1%”
“Analyses were conducted in SPSS Statistics v.28.0.1.1.”
“Mean percentage reductions in initial weight in the intention-to-treat population were compared using mixed-effects models”
“mean difference = 3.1 ± 1.0, 95% confidence interval = 1.1–5.1%, Cohen’s d = 0.73”
The data availability statement provides a clear mechanism for accessing de-identified data through a review process and data-sharing agreement. It explains why data cannot be freely available due to privacy. Code availability states that no custom code was generated, and standard software was used. Repository deposit and accession numbers are not applicable for patient-level data.
“Data will be provided following the review and approval of a research proposal (including a statistical analysis plan) by the corresponding author and at least one other doctoral-level researcher at the University of Pennsylvania.”
“No custom code was generated for the present analyses.”
“De-identified participant data used in the present analyses will be made available to investigators for research purposes after release of this publication. Data will be provided following the review and approval of a research proposal (including a statistical analysis plan) by the corresponding author and at least one other doctoral-level researcher at the University of Pennsylvania. The initial review will be completed within 3 months of receipt of the proposal.”
“No custom code was generated for the present analyses.”
The trial is registered (NCT03779048). A CONSORT 2010 checklist is mentioned in supplementary information. All outcomes are reported, including secondary and exploratory. Limitations are discussed in detail. Conclusions are proportional to the evidence. Funding and competing interests are disclosed.
“ClinicalTrials.gov registration: NCT03779048”
“Supplementary Note (CONSORT 2010 checklist, summary of protocol modifications and full study protocol).”
“The primary limitation of this study was the relatively small sample of randomized participants, which was not adequately powered to detect group differences in outcomes other than percent reduction in body weight.”
“ClinicalTrials.gov registration: NCT03779048”
“Supplementary Note (CONSORT 2010 checklist, summary of protocol modifications and full study protocol).”
“The primary limitation of this study was the relatively small sample of randomized participants, which was not adequately powered to detect group differences in outcomes other than percent reduction in body weight.”
Registered (1 ID: ClinicalTrials.gov). Reporting guideline cited: CONSORT.
Broken references and links
None foundReferences checked against Crossref, OpenAlex and Retraction Watch for retractions and resolvability, plus declared data and code links probed for whether they resolve to content matching the paper.
Checked — nothing surfaced.
Checked 36 references by DOI: 2 verified — 34 no DOI (shown, not verified).
- NO DOI2013 AHA/ACC/TOS guideline for the management of overweight and obesity in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and The Obesity SocietyNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIBenefits of modest weight loss in improving cardiovascular risk factors in overweight and obese individuals with type 2 diabetesNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIInterpreting weight losses from lifestyle modification trials: using categorical dataNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIEvaluation of early weight loss thresholds for identifying nonresponders to an intensive lifestyle interventionNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIPredictors of attrition and weight loss success: results from a randomized controlled trialNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIEarly-treatment weight loss predicts 6-month weight loss in women with obesity and depression: implications for stepped careNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIIs drop-out from obesity treatment a predictable and preventable event?No DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIA preliminary investigation into whether early intervention can improve weight loss among those initially non-responsive to an internet-based behavioral programNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOISuccessful weight loss with self-help: a stepped-care approachNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIEffect of a stepped-care intervention approach on weight loss in adults: a randomized clinical trialNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIEarly weight loss in behavioral treatment predicts later rate of weight loss and response to pharmacotherapyNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIOrlistat, a lipase inhibitor, for weight maintenance after conventional dieting: a 1-y studyNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIWeight maintenance and additional weight loss with liraglutide after low-calorie-diet-induced weight loss: the SCALE Maintenance randomized studyNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOITirzepatide after intensive lifestyle intervention in adults with overweight or obesity: the SURMOUNT-3 phase 3 trialNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOILiraglutide 3.0 mg and intensive behavioral therapy (IBT) for obesity in primary care: the SCALE IBT randomized controlled trialNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIWeight loss with naltrexone SR/bupropion SR combination therapy as an adjunct to behavior modification: the COR-BMOD trialNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIEffect of subcutaneous semaglutide vs placebo as an adjunct to intensive behavioral therapy on body weight in adults with overweight or obesity: the STEP 3 randomized clinical trialNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIRandomized controlled trial to investigate the effects of a newly developed formulation of phentermine diffuse‐controlled release for obesityNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIEvaluation of phentermine and topiramate versus phentermine/topiramate extended-release in obese adultsNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIBlood pressure and heart rate effects, weight loss and maintenance during long-term phentermine pharmacotherapy for obesityNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOISafety and effectiveness of longer‐term phentermine use: clinical outcomes from an electronic health record cohortNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIComparison of continuous and intermittent anorectic therapy in obesityNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIThe Diabetes Prevention Program (DPP) description of lifestyle interventionNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIThe Look AHEAD study: a description of the lifestyle intervention and the evidence supporting itNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOITirzepatide once weekly for the treatment of obesityNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIOnce-weekly semaglutide in adults with overweight or obesityNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIThe role of lifestyle modification with second-generation anti-obesity medications: comparisons, questions, and clinical opportunitiesNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIA protocol to deliver intensive behavioral therapy (IBT) for obesity in primary care settings: the MODEL‐IBT programNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIDevelopment of a brief measure to assess quality of life in obesityNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIThe PHQ‐9: validity of a brief depression severity measureNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIPhysical activity as an index of heart attack risk in college alumniNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIPattern-mixture models for multivariate incomplete dataNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIHow many imputations are really needed? Some practical clarifications of multiple imputation theoryNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIMultiple imputation after 18+ yearsNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
2 of 3 data/code links checked; 2 live; 1 not probed.
- datahttps://clinicaltrials.gov/study/NCT03779048LIVEHTTP 200Resolves, but the content could not be matched to the paper.
- datahttps://clinicaltrials.gov/ct2/show/NCT03779048LIVEHTTP 200Resolves, but the content could not be matched to the paper.
- codehttps://www.rproject.org/UNVERIFIEDLiveness indeterminate — content not checked.
Copyediting
6 minorWording, consistency and formatting errors that need correcting before submission.
No major wording or formatting errors. 6 minor suggestions below.
6 copyedit issues flagged: mostly consistency, clarity, typo.
- MINORconsistencyAbstract“Cohen’s d = 0.73”→ Ensure consistency with Table 2 where Cohen's d is reported as 0.72 for the primary outcome.The abstract reports d=0.73 while Table 2 reports d=0.72 for the same comparison.
- MINORclarityMethods, Statistical analyses“In mixed-effects analyses with only two time points, individuals with missing data do not contribute to slope estimation, resulting in a completer analysis.”→ Clarify that this applies to the primary outcome analysis and how missing data are handled in the mixed model.The sentence is slightly confusing; it could be clearer that the mixed model uses available data.
- MINORtypoResults, Phase 2“Vitals were missing for the 14 nonresponders (18.4%) who completed only remote measures”→ Change 'nonresponders' to 'participants' for clarity.The term 'nonresponders' is used to refer to early nonresponders, but here it refers to all participants with missing vitals.
- MINORconsistencyAbstract“Cohen’s d = 0.73”→ Ensure consistency with Table 2 where Cohen's d is reported as 0.72 for the same comparison.Minor discrepancy in effect size between abstract and table.
- MINORclarityResults, Phase 2“Vitals were missing for the 14 nonresponders (18.4%) who completed only remote measures”→ Clarify whether 'nonresponders' refers to early nonresponders or all participants.Potential ambiguity in terminology.
- MINORgrammarDiscussion, paragraph 3“The results demonstrated that individuals at risk of suboptimal response, as defined by their loss of <2% of initial weight in the first 4 weeks, can achieve a weight loss similar to that of early (strong) BT responders if provided with adjunctive AOM at that time.”→ Consider rephrasing for clarity: '...if they are provided with adjunctive AOM at that time.'Minor grammatical improvement.
The published work is robust and well-reported. An informed reader should weigh the minor inconsistencies (Cohen's d discrepancy, terminology ambiguity) and the small sample size as limitations, but these do not warrant a correction. The data availability statement is adequate, and no integrity concerns were raised.
- 1.HIGHcopyeditReconcile the Cohen's d value for the primary outcome between the Abstract (0.73) and Table 2 (0.72) to ensure consistency.An internal inconsistency in a reported effect size could confuse readers and undermine trust in the reported results.
- 2.HIGHcopyeditClarify the term 'nonresponders' in the Results section (Phase 2) where it refers to participants with missing vitals, to avoid ambiguity with early nonresponders.Ambiguous terminology could mislead readers about which participant subgroup is being described.
- 3.MEDIUMreportingClarify the sentence in Methods, Statistical analyses about missing data in mixed-effects models to explicitly state how missing data are handled for the primary outcome.The current wording is confusing and could be misinterpreted regarding the analysis population.
- 4.MEDIUMreportingConsider reporting the exact p-value for the secondary outcome of ≥10% weight loss (currently reported as P = 0.078) to enhance precision.Exact p-values are preferred over threshold reporting for transparency and reproducibility.
- 5.MEDIUMreportingConsider reporting the exact p-value for the exploratory comparison between early responders and BT+AOM (currently reported as not significant without a value).Providing exact p-values for all reported comparisons improves completeness.
- 6.MEDIUMdata codeConsider specifying the exact data-sharing agreement terms or providing a link to the protocol repository in the Data Availability statement.More specific access details would facilitate data reuse and enhance transparency.
- 7.MEDIUMreportingConsider adding a statement about the handling of missing data for the primary outcome in the CONSORT flow diagram to improve transparency.Clear reporting of missing data handling is essential for assessing potential bias.
- 8.MEDIUMreportingConsider reporting the intraclass correlation or variance components from the mixed models to aid replication.Providing model parameters would allow others to replicate the analysis more accurately.
- 9.MEDIUMreportingConsider providing the full statistical analysis plan as a supplementary file to strengthen reproducibility.A full SAP would enhance transparency and allow verification of pre-specified analyses.
- 10.MEDIUMreportingConsider reporting the number of participants who discontinued treatment and the reasons in a more detailed table.Detailed discontinuation information is important for assessing attrition bias.
- 11.MEDIUMrigorConsider adding a sensitivity analysis excluding participants with remote weight measurements to assess robustness.Remote measurements may introduce measurement variability; a sensitivity analysis would strengthen the conclusions.
- 12.LOWreportingConsider reporting the manufacturer and lot number for phentermine and placebo in the Methods to fully satisfy resource identification.Providing product details enhances reproducibility and resource identification.
- 13.LOWreportingConsider providing a more detailed description of the randomization sequence generation and allocation concealment in the Methods.More detail on randomization procedures would further strengthen the design description.
- 14.LOWethicsConsider adding a statement about adherence to the Declaration of Helsinki or other ethical guidelines in the Methods.Explicitly stating adherence to ethical guidelines is a good practice for human research.
- 15.LOWcopyeditRephrase the sentence in Discussion, paragraph 3 for grammatical clarity: '...if they are provided with adjunctive AOM at that time.'Minor grammatical improvement enhances readability.
The star rating is the report’s one-glance summary. Every paper starts at 5★ and loses stars for the concrete problems the review finds — so a rating is never a vague average, it’s a running total you can read line by line under “How this rating was calculated.”
- Reporting — 8 dimensionseach dimension that fully fails−½★
- each dimension partially met−¼★
- Statistics · Integrity · Claimseach serious problem−1★
- each medium problem−½★
- Citationseach retracted or unverifiable reference−¼★
- Copyeditonly when the manuscript needs a full edit−½★
The rating never drops below 1★, and a demonstrable critical failure (an impossible statistic, a proven ethics violation) caps it at 1★ on its own — so the stars can never look healthy when the verdict is CRITICAL.
The rating draws on a panel of agents. Three independent Kaimen Rigor reviewers grade the eight dimensions below across several independent passes (the shown verdict is their majority vote — steadier than any single run), isolate the paper’s major claims and check its own evidence backs them, and flag integrity concerns. Alongside them, a citation agent resolves every reference against Crossref, OpenAlex, and Retraction Watch; a statistics agent recomputes reported tests; and rule-based checks verify that declared data/code links actually resolve. Full text is required — an abstract-only submission is not analyzed.
Graded against NIH, MDAR, ARRIVE 2.0, CONSORT, EQUATOR, and RRID guidelines. A dimension that doesn’t apply to the study type is skipped, never penalized.
This Kaimen Rigor review is model-assisted and is not a substitute for formal expert review. It complements human evaluation by surfacing potential methodological concerns — verify each finding against the source.