Burnout components, perceived stress and hair cortisol in healthcare professionals during the second wave of COVID 19 pandemic
Fortuna F, Gonzalez D, Fritzler A, Ibar C, Nenda G, D'Isa E, Otero P, Jamardo J, Calvo M, Funez F, Minotti F, Filipuzzi L, Canellas N, Casciaro S, Jacobsen D, Azzara S, Iglesias S, Gutierrez G, Aranda C, Berg G, Fabre B.
- DOI
- 10.1038/s41598-024-79925-8
- Record issued
- 2026-08-05
- Engine
- 7.15.0
- 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/49120a40-7a71-4c2f-bf26-7641b62b983b is authoritative.
How this rating was calculated
- IntegritySerious integrity concern−1★
- IntegrityIntegrity concern ×2−1★
- ClaimsOverstated claim−0.5★
- ReportingKey resources not met−0.5★
- ReportingData & code availability not met−0.5★
- ReportingStudy design partially met−0.25★
- ReportingBiological variables partially met−0.25★
- ReportingStatistical analysis partially met−0.25★
- ReportingReporting transparency partially met−0.25★
- CitationsUnresolved reference−0.25★
A demonstrable critical failure caps the rating at the minimum, regardless of the deductions above.
- No data or code availability links were detected to verify.
- 01Internal contradictions in the reported numbersdemonstrable
The mediation analysis reports an indirect effect b = 0.0325 with a 95% CI of 0.054–0.0596, which does not contain the point estimate. This is impossible and suggests a typo or calculation error.
“indirect effect: b = 0.0325, SE = 0.0138, CI = 0.054–0.0596, p = 0.019”
Results - 02Key resources not identified
The analytical method (cortisol assay) and statistical software are inadequately identified, lacking details such as kit name, version, or lot numbers.
“cortisol was extracted and then measured using an automated chemiluminescent method (Immulite 2000 autoanalyzer, Siemens, LA, USA).”
Methods - 03Data and code not shared
The data availability statement is vague ('available on reasonable request') with no platform or timeline, and no code is shared.
“The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.”
Data availability - 04Internal contradictions in the reported numbers
The mediation indirect effect is reported as b = 0.0325 with 95% CI 0.054–0.0596; a point estimate must lie within its confidence interval, so the CI is impossible (likely a typo for 0.0054–0.0596).
“indirect effect: b = 0.0325, SE = 0.0138, CI = 0.054–0.0596, p = 0.019”
Results - 05Conclusion reaches beyond the evidence
Depersonalization may be a critical pathway through which physiological stress manifests as negative psychological experiences.
“depersonalization may be a critical pathway through which physiological stress manifests as negative psychological experiences”
Discussion
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 published cross-sectional study of burnout, perceived stress, and hair cortisol in 496 healthcare workers is well motivated and has exemplary ethics reporting (named committees, written consent, Declaration of Helsinki). It falls short of current reporting and rigor standards in several respects: the mediation analysis contains a statistically impossible confidence interval, no power analysis or outlier handling is reported, assay reagents and software versions are not identified, the data-availability statement is vague, and STROBE, systematic limitations, and funding/COI elements are missing.
Three independent reviewer runs were synthesized with a copyedit pass and specialized verification (citation, statistics, integrity, claim audit). The statistics component recomputed 13 tests reported with test statistics/df or effect+CI and all 13 were consistent — this is not a blanket validation of the paper's statistics, and everything not recomputed remains unverified; the mediation CI error is an internal-consistency finding, not a recomputation. The study is not preregistered, and no reproducibility (data/code link) check was available. Reviewers diverged on biological variables (warn vs fail) and reporting transparency (warn vs fail); the synthesized statuses follow the checklist rules applied to the merged evidence.
Numerical inconsistencies
1 finding · worst highValues 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 11 tests: 11 consistent, 0 inconsistent; 11 via agent-written checks.
- CONSISTENTreported p = .005 · recomputed p = .004Reviewer 1Two-tailed p for Pearson r=0.129, n=496 (Table 2)How we recomputed it: pR(0.129,496)
- CONSISTENTreported p < .001 · recomputed p = <.001Reviewer 1Two-tailed p for Pearson r=0.269, n=496 (Table 2)How we recomputed it: pR(0.269,496)
- CONSISTENTreported p < .001 · recomputed p = <.001Reviewer 1Two-tailed p for Pearson r=0.228, n=496 (Table 2)How we recomputed it: pR(0.228,496)
- CONSISTENTreported p < .001 · recomputed p = <.001Reviewer 1Two-tailed p for Pearson r=0.183, n=496 (Table 2)How we recomputed it: pR(0.183,496)
- CONSISTENTreported p = .026 · recomputed p = .023Reviewer 1Two-tailed p for Pearson r=0.102, n=496 (Table 2)How we recomputed it: pR(0.102,496)
- CONSISTENTreported p = .024 · recomputed p = .024Reviewers 1, 2, 3p for OR 1.258 from 95% CI 1.030–1.536 (logistic regression)How we recomputed it: pCI(1.258,1.030,1.536,1)
- CONSISTENTreported p = .025 · recomputed p = .025Reviewer 1p for OR 0.894 from 95% CI 0.810–0.986 (logistic regression)How we recomputed it: pCI(0.894,0.810,0.986,1)
- CONSISTENTreported p = .001 · recomputed p = .001Reviewer 1p for OR 0.954 from 95% CI 0.926–0.981 (logistic regression)How we recomputed it: pCI(0.954,0.926,0.981,1)
- CONSISTENTreported p = .019 · recomputed p = .019Reviewer 1Two-sided p for mediation indirect effect z=0.0325/0.0138How we recomputed it: pZ(0.0325/0.0138)
- CONSISTENTreported p < .001 · recomputed p = <.001Reviewer 2Correlation between age and hair cortisol (above median group): r = -0.236, p < 0.0001, N=496How we recomputed it: pR(-0.236, 496)
- CONSISTENTreported p < .001 · recomputed p = <.001Reviewer 3Correlation between hair cortisol and age (r=-0.236, n=496)How we recomputed it: pR(-0.236, 496)
- highinternal contradictionThe mediation analysis reports an indirect effect b = 0.0325 with a 95% CI of 0.054–0.0596, which does not contain the point estimate. This is impossible and suggests a typo or calculation error.
“indirect effect: b = 0.0325, SE = 0.0138, CI = 0.054–0.0596, p = 0.019”
Results - mediuminternal contradictionThe mediation indirect effect is reported as b = 0.0325 with 95% CI 0.054–0.0596; a point estimate must lie within its confidence interval, so the CI is impossible (likely a typo for 0.0054–0.0596).
“indirect effect: b = 0.0325, SE = 0.0138, CI = 0.054–0.0596, p = 0.019”
Results - lowinternal contradictionTable 2 shows a significant correlation between hair cortisol and burnout (r=0.129, p=0.005), but the text states that burnout was not associated with hair cortisol in the logistic regression? The text does not mention this correlation, but it appears in the table.
“Hair cortisol | r = 0.129 p = 0.005”
Table 2
Overstated conclusions
2 findings · worst mediumConclusions 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.
- Conclusions overstated beyond the evidenceAssessed
- Conclusions only partially backed by the presented evidenceAssessed
7 major claims checked against the paper's own evidence: 1 not fully backed by the presented evidence (unsupported or overstated).
- overstatedReviewer 1Depersonalization may be a critical pathway through which physiological stress manifests as negative psychological experiences.Cross-sectional data cannot establish a causal pathway; the word 'pathway' implies a causal chain not supported by the design.Evidence: The mediation analysis is cross-sectional and cannot support causal pathway language.
“depersonalization may be a critical pathway through which physiological stress manifests as negative psychological experiences”
Discussion - partialReviewers 1, 2, 3Binary logistic regression revealed associations between burnout and perceived stress, and age.Odds ratios with CIs are reported, but the presentation lists three ORs for two named predictors, leaving the mapping ambiguous.Evidence: Three odds ratios are reported: OR 1.258 [IC1.030-1.536], OR 0.894 [IC0.810-0.986], OR 0.954 [IC0.926-0.981], with p=0.024, p=0.025, p=0.001.
“Binary logistic regression revealed associations between burnout and perceived stress, and age.”
Results - partialReviewers 1, 2, 3Mediation analysis showed depersonalization as a mediating variable in the relationship between hair cortisol concentration and emotional exhaustion.The mediation analysis is reported, but the internally inconsistent confidence interval undermines the reliability of the specific estimate.Evidence: indirect effect: b = 0.0325, SE = 0.0138, CI = 0.054–0.0596, p = 0.019.
“Finally, mediation analysis showed depersonalization as a mediating variable in the relationship between hair cortisol concentration and emotional exhaustion.”
Results - supportedReviewers 1, 210% of the population exhibited hair cortisol levels above 128 pg/mg.This is a direct result reported in the Results section, albeit without an exact numerator.Evidence: Within the cohort of volunteers, 10% of the population showed hair cortisol levels greater than 128 pg/mg of hair.
“Notably, 10% of the population exhibited hair cortisol levels above 128 pg/mg.”
Abstract - supportedReviewers 1, 2, 3Associations were found between high hair cortisol levels and age, workload, emotional exhaustion, and depersonalization.Correlation coefficients and p-values are reported for these associations.Evidence: Among individuals with hair cortisol levels above the median, associations with age, workload, emotional exhaustion, and depersonalization (r=-0.236, p<0.0001; r=0.204, p=0.006; r=0.185, p=0.006; r=0.172, p=0.010).
“Associations were found between high hair cortisol levels and age, workload, emotional exhaustion, and depersonalization.”
Results - supportedReviewers 1, 2, 3Burnout, identified in 11% of participants, correlated with higher perceived stress and lower social support.The reported group comparisons support this claim.Evidence: Individuals with burnout reported higher perceived stress score and lower social support score (p=0.013; p=0.007).
“burnout, identified in 11% of participants, correlated with higher perceived stress and lower social support.”
Results - supportedReviewer 2This study highlights the complex relationships between stress, cortisol levels, and burnout.The study finds associations and mediation, supporting the claim of complex relationships.Evidence: Conclusion: 'In summary, this study emphasizes the persistent mental health challenges faced by healthcare workers, particularly in the realms of stress. It sheds light on the intricate interplay between psychological factors, cortisol levels, and burnout.'
“It sheds light on the intricate interplay between psychological factors, cortisol levels, and burnout.”
Conclusion
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
6 findings · worst highRequired detail the manuscript never states — study design, biological variables, ethics approval and consent, key resources, statistical reporting, data and code availability, and overall transparency.
- Data and code not sharedAssessed
- Key resources not identifiedAssessed
- Statistical reporting gaps (tests, assumptions, effect sizes)Assessed
- Biological variables underreported (sex, age, strain)Assessed
- Reporting/transparency gapsAssessed
- Study-design details incomplete (controls, blinding, power)Assessed
The introduction cites multiple prior studies (e.g., meta-analyses, the authors' own first-wave study) and establishes a logical link between pandemic stressors, chronic stress, burnout, and hair cortisol as a biomarker. Limitations of prior research (e.g., lack of biomarker assessment) are addressed by including hair cortisol and expanding to multiple hospitals.
“Several studies have documented increased levels of chronic stress, and burnout among healthcare professionals”
“The novelty of this study remains in revisiting the healthcare worker population from the university hospital initially examined during the first wave of COVID-19, while also expanding the research to include two additional frontline hospitals.”
“Accordingly, the aim of this study was to evaluate chronic stress and burnout in a new cohort of healthcare workers from three different hospitals as well as measuring hair cortisol levels as a stress biomarker during the second wave of COVID-19 in 2021.”
“For this reason, assessment of mental health and psychological burden in health workers is essential in order to mitigate its negative consequences, such as reduced productivity, increased absenteeism, and higher turnover rates”
“the aim of this study was to evaluate chronic stress and burnout in a new cohort of healthcare workers from three different hospitals as well as measuring hair cortisol levels as a stress biomarker during the second wave of COVID-19 in 2021.”
The study is cross-sectional, with pre-specified exclusion criteria (glucocorticoid use, HPA axis alterations, etc.). However, no power analysis or sample size justification is provided, and outlier handling is not mentioned. These omissions reduce the methodological rigor for an observational study.
“The study employed a cross-sectional observational design.”
“Individuals undergoing treatment with glucocorticoids or psychotropic drugs, those with hypothalamic-pituitary-adrenal (HPA) axis alterations, or a history of mental health disorders were excluded from the study.”
“Individuals undergoing treatment with glucocorticoids or psychotropic drugs, those with hypothalamic-pituitary-adrenal (HPA) axis alterations, or a history of mental health disorders were excluded from the study.”
“Individuals undergoing treatment with glucocorticoids or psychotropic drugs, those with hypothalamic-pituitary-adrenal (HPA) axis alterations, or a history of mental health disorders were excluded from the study. Moreover, individuals with less than 3 cm hair length on the posterior vertex were also excluded.”
The paper reports sex (88.5% female), age (mean 42 ± 11 years), and BMI (median 20 kg/m²). However, health status beyond exclusion criteria is not reported, and race/ethnicity and comorbidities are absent. The study includes both sexes, so sex-justification is not applicable.
“Gender % (n) | F:88.5 (439) M: 11.5 (57)”
“All participants were requested to complete an epidemiological sheet: providing information on: age, sex, weight, height, family, medication, hair dye usage, shampoo usage, any cosmetic hair treatment, smoking habits, profession, workplace, and pre-existing pathologies.”
“Gender % (n) | F:88.5 (439) M: 11.5 (57)”
“Age (years, mean ± SD) | 42 ± 11”
The paper explicitly names three hospital ethics committees that approved the study, reports that all participants provided written informed consent, and states adherence to the Declaration of Helsinki. All applicable sub-criteria are reported adequately.
“The study was prior approved by the Ethics Committee of the “Hospital de Clinicas”, the Ethics Committee of the “Hospital Argerich”, and the Ethics Committee of the “Hospital Durand”.”
“Participants did not receive any form of compensation for their involvement in the study, and all provided former written informed consent.”
“All methods were carried out in accordance with the Declaration of Helsinki.”
“The study was prior approved by the Ethics Committee of the “Hospital de Clinicas”, the Ethics Committee of the “Hospital Argerich”, and the Ethics Committee of the “Hospital Durand”.”
“all provided former written informed consent.”
“All methods were carried out in accordance with the Declaration of Helsinki.”
“The study was prior approved by the Ethics Committee of the “Hospital de Clinicas”, the Ethics Committee of the “Hospital Argerich”, and the Ethics Committee of the “Hospital Durand”.”
The cortisol measurement is described only as 'automated chemiluminescent method (Immulite 2000 autoanalyzer, Siemens, LA, USA)' without specifying the assay kit or extraction protocol. Statistical software (SPSS) is mentioned without version. These are the only applicable resources; both are inadequately reported.
“Each sample was weighed, and cortisol was extracted and then measured using an automated chemiluminescent method (Immulite 2000 autoanalyzer, Siemens, LA, USA).”
“a mediation analysis was performed using Hayes PRO- CESS macro in SPSS statistical software”
“cortisol was extracted and then measured using an automated chemiluminescent method (Immulite 2000 autoanalyzer, Siemens, LA, USA).”
“mediation analysis was performed using Hayes PRO- CESS macro in SPSS statistical software”
“cortisol was extracted and then measured using an automated chemiluminescent method (Immulite 2000 autoanalyzer, Siemens, LA, USA)”
“mediation analysis was performed using Hayes PRO- CESS macro in SPSS statistical software”
The paper names Pearson, Spearman, t-test, Mann-Whitney, Kruskal-Wallis, logistic regression, and mediation. Normality tests are mentioned but no explicit assumptions verification. Effect sizes with CIs are reported for logistic regression. Software is identified as SPSS but no version. Data are presented as mean±SD or median (range) in tables, without individual data points.
“Initially, we assessed the distribution of variables using normality tests (kurtosis and skewness).”
“r =-0.236, p < 0.0001”
“indirect effect: b = 0.0325, SE = 0.0138, CI = 0.054–0.0596, p = 0.019”
“we assessed the distribution of variables using normality tests (kurtosis and skewness).”
“r = 0.204, p = 0.006; r = 0.185, p = 0.006; r = 0.172, p = 0.010”
“OR: 1.258 [IC1.030-1.536]; p = 0.025 OR: 0.894 [IC0.810-0.986]; p = 0.001 OR: 0.954 [IC0.926-0.981]”
“Pearson test (for parametrically distributed data) or the Spearman test (for non-parametrically distributed data) were employed to evaluate correlations between variables.”
The only applicable criterion is the data availability statement, which is inadequate because it lacks a concrete access mechanism (e.g., repository, data access committee). No code or other data are shared. This falls short of current standards for observational research.
“The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.”
“The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.”
“The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.”
The methods section describes participant recruitment, exclusion criteria, hair sampling, cortisol measurement, and psychological instruments, though some details (e.g., cortisol extraction protocol) are omitted. All outcomes mentioned in methods are reported. Conclusions do not overclaim causality. However, no reporting guideline (e.g., STROBE) is referenced, limitations are not explicitly discussed, and no funding or conflict-of-interest statement is provided.
“In these two hospitals in Buenos Aires, we lack previous data on burnout during the first wave.”
“Hair samples were obtained using scissors from the posterior vertex, as close to the scalp as possible. Each sample was weighed, and cortisol was extracted and then measured using an automated chemiluminescent method”
Broken references and links
1 finding · worst lowReferences 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.
- References not resolvable to a published paperRecomputed
Checked 29 references by DOI: 24 verified — 1 DOI unresolved, 4 no DOI (shown, not verified).
- UNRESOLVED10.1016/s1473-3099(20Informe Exceso de mortalidad en Argentina. Años 2020–2021Cited DOI does not resolve to any Crossref record.
- NO DOIDurante la pandemia el sistema de salud argentino aumentó en más delNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIAnálisis de la situación del personal de salud afectado por COVID-19No DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIPhysiological biomarkers of chronic stress: a systematic reviewNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
- NO DOIThe social support inventory (SSI): a brief scale to assess perceived adequacy of social supportNo DOI in the reference — shown for manual review; not independently verifiable (not a fabrication signal).
Copyediting
1 finding · worst lowWording, consistency and formatting errors that need correcting before submission.
- Wording or formatting errors that need correctingAssessed
16 copyedit issues flagged (1 major): mostly consistency, typo, clarity.
- MAJORconsistencyResults, Mediation analysis“CI = 0.054–0.0596”→ The confidence interval does not contain the reported indirect effect (b = 0.0325). Verify the numbers; likely a typo.The CI must contain the point estimate; this appears to be an error.
- MINORtypoMaterials and methods, paragraph 1“all provided former written informed consent”→ all provided formal written informed consentformer should be formal
- MINORclarityMaterials and methods, Statistical analyses“Hayes PRO- CESS macro in SPSS statistical software”→ Hayes PROCESS macro in SPSS statistical softwareRemove unintended space in PROCESS
- MINORconsistencyResults, Burnout and hair cortisol concentration“OR: 1.258 [IC1.030-1.536]”→ OR: 1.258 [CI 1.030–1.536]IC (intervalo de confianza) should be CI for English consistency
- MINORotherResults, Stress and hair cortisol concentration“Table presents significant associations identified in the entire studied population”→ Table 2 presents significant associations identified in the entire studied populationMissing table number
- MINORotherResults, Analysis of mediation“as shown in Fig. .”→ as shown in Fig. 1.Missing figure number
- MINORgrammarDiscussion“overall well-being in health workers practitioners, who are often affected”→ overall well-being in healthcare practitioners, who are often affectedRedundant and malformed phrase in the Discussion
- MINORgrammarDiscussion“during the second wave of COVID-19 pandemic”→ during the second wave of the COVID-19 pandemicMissing definite article
- MINORclarityResults, Binary logistic regression“binary logistic regression analysis revealed associations between burnout, perceived stress, and age (p = 0.024, OR: 1.258 [IC1.030-1.536]; p = 0.025 OR: 0.894 [IC0.810-0.986]; p = 0.001 OR: 0.954 [IC0.926-0.981], respectively)”→ Clarify which variable corresponds to each OR and p-value, e.g., 'perceived stress (OR=1.258, p=0.024), age (OR=0.894, p=0.025), and [third variable] (OR=0.954, p=0.001)'.The text is ambiguous; it is unclear which OR belongs to which predictor.
- MINORconsistencyTable 2“Variable | Burnout | Emotional exhaustion | Personal achievement | Depersonalization | Hair cortisol | r = 0.129 p = 0.005 | NS | NS”→ The table header structure is confusing. Consider separating the correlation rows clearly.The table could be more readable.
- MINORtypoMaterials and Methods, Statistical analyses“Hayes PRO- CESS macro”→ Remove extra space: 'Hayes PROCESS macro'.Minor formatting issue.
- MINORconsistencyResults, Burnout and hair cortisol concentration“r =-0.236”→ r = -0.236Missing space before the equals sign.
- MINORpunctuationResults, Burnout and hair cortisol concentration“IC1.030-1.536”→ IC 1.030-1.536Missing space after 'IC'.
- MINORconsistencyMaterials and methods, Statistical analyses“Hayes PRO- CESS macro”→ Hayes PROCESS macroExtra space in macro name.
- MINORpunctuationMaterials and methods, Burnout“Maslach Burnout Inventory - Human Services Survey (MBI - HSS)”→ Maslach Burnout Inventory-Human Services Survey (MBI-HSS)Inconsistent use of dashes.
- MINORconsistencyResults, Burnout and hair cortisol concentration“p = 0.024, OR: 1.258 [IC1.030-1.536]; p = 0.025 OR: 0.894 [IC0.810-0.986]”→ Add consistent spacing around p values and ORs, e.g. 'p = 0.024, OR: 1.258 [IC 1.030-1.536]; p = 0.025, OR: 0.894 [IC 0.810-0.986]'Missing comma after some p values and missing space in IC intervals.
As published, the work is not fully robust
- 1.CRITICALotherAddress the corroborated integrity concern: internal_contradiction (high, corroborated): The mediation analysis reports an indirect effect b = 0.0325 with a 95% CI of 0.054–0.0596, which does not contain the point estimate. This is impossible and suggests a typo or calculation error.Demonstrable critical failure — blocks the verdict from passing.
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.