Telemedicine-supported lifestyle intervention for glycemic control in patients with CHD and T2DM: multicenter, randomized controlled trial.
Mueller S, Dinges SMT, Gass F, Fegers-Wustrow I, Treitschke J, von Korn P, Boscheri A, Krotz J, Freigang F, Dubois C, Winzer EB, Linke A, Edelmann F, Feuerstein A, Wolfram O, Schäfer K, Verket M, Wolfarth B, Dörr M, Wachter R, Hackenberg B, Rust S, Nebling T, Amelung V, Halle M
- DOI
- 10.1038/s41591-025-03498-w
- Record issued
- 2026-08-15
- Engine
- 7.39.0
- Exported
- 2026-09-22
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/e502f565-d910-45fc-84f6-f54c2ef38fa3 is authoritative.
How this rating was calculated
- IntegrityIntegrity concern ×2−1★
- ClaimsEfficacy rests on an unvalidated surrogate endpoint−0.5★
- ClaimsTreatment effect not shown to be clinically meaningful−0.5★
- ReportingData & code availability partially met−0.25★
- 01Efficacy rests on an unvalidated surrogate endpoint
The primary efficacy claim is based on change in HbA1c, a surrogate biomarker for glycemic control. The paper does not demonstrate target engagement at the tested dose (e.g., PK/PD) nor cite validated evidence linking HbA1c reduction to the specific clinical outcome of interest (major adverse cardiovascular events) in this population. The effect is modest and not sustained.
“The study met its primary endpoint of reduced glycated hemoglobin after 6 months in favor of the lifestyle intervention group (mean between-group difference in the complete-case analysis (n = 197 and n = 193), −0.13% (95% confidence interval, −0.25 to −0.01),…”
- 02Treatment effect not shown to be clinically meaningful
The primary effect size is a mean between-group difference in HbA1c of -0.13% at 6 months, which is small and below the commonly accepted minimal clinically important difference of 0.3-0.5% for HbA1c. The paper itself describes the effect as 'modest' and notes that it was not consistent after multiple imputation. No anchor to clinical meaningfulness is provided for the primary endpoint.
“In conclusion, a home-based lifestyle intervention with telemedicine support showed modest effects in patients with CHD and T2DM.”
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 multicenter RCT with rigorous randomization, pre-specified analyses, and transparent reporting. The main weakness is the vague data availability statement, and there are minor copyedit issues including a potential percentage inconsistency in Table 1.
Both reviewers classified the study as interventional (RCT), and no divergence was present. The evaluation covered the full text, including methods, results, and discussion. Non-applicable sub-criteria (e.g., animal housing, cell lines) were excluded. The statistics verification covered only 4 tests; the remaining statistics were not machine-verified.
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 4 tests: 4 consistent, 0 inconsistent; 4 via agent-written checks.
- CONSISTENTreported p = .040 · recomputed p = .034Reviewer 1Primary endpoint between-group difference in HbA1c change at 6 months (complete-case analysis).
“mean between-group difference in the complete-case analysis ( n = 197 and n = 193), −0.13% (95% confidence interval, −0.25 to −0.01), P = 0.04”
Taken as given: The reported difference is the mean between-group difference.; The 95% CI is two-sided.; The p-value is two-sided.Method: Recomputed p-value from the reported estimate and 95% CI using the normal approximation.How we recomputed it: pCI(-0.13, -0.25, -0.01, 0) - CONSISTENTreported p < .001 · recomputed p = <.001Reviewers 1, 2Between-group difference in body weight change at 6 months.
“difference in mean changes = −1.4 kg (−2.1 to −0.8), P < 0.001”
Taken as given: The reported difference is the mean between-group difference.; The 95% CI is two-sided.; The p-value is two-sided.Method: Recomputed p-value from the reported estimate and 95% CI using the normal approximation.How we recomputed it: pCI(-1.4, -2.1, -0.8, 0) - CONSISTENTreported p = .006 · recomputed p = .005Reviewer 1Between-group difference in SF-36 mental component score at 6 months.
“changes in the QoL mental component score (2.7 (0.8–4.6), P = 0.006)”
Taken as given: The reported difference is the mean between-group difference.; The 95% CI is two-sided.; The p-value is two-sided.Method: Recomputed p-value from the reported estimate and 95% CI using the normal approximation.How we recomputed it: pCI(2.7, 0.8, 4.6, 0) - CONSISTENTreported p = .040 · recomputed p = .040Reviewer 2Primary endpoint between-group difference in HbA1c change at 6 months (t-test).
“difference in mean changes, −0.13% (95% CI, −0.25 to −0.01%), P = 0.04”
Taken as given: The t-statistic is approximately 2.06 (derived from the CI and n=390).; Degrees of freedom = 390 - 2 = 388.Method: Two-tailed t-test p-value from t-statistic and df.How we recomputed it: pT(2.06, 388)
- lowinternal contradictionIn Table 1, the 'Handling of technical devices' row for usual care shows percentages that do not sum to 100% (12.1+67.3+8.5=87.9), suggesting a possible data error.
Handling of technical devices | Rather easy | 47 (18.7%) | 30 (12.1%) | Rather difficult | 173 (68.9%) | 167 (67.3%) | Unknown | 15 (6.0%) | 29 (8.5%)
Table 1reviewer’s wording - lowinternal contradictionIn Table 1, the percentage for 'Unknown' in 'Handling of technical devices' for usual care is 8.5%, but 29/248 = 11.7%.
“Unknown | 15 (6.0%) | 29 (8.5%)”
Table 1Find in source
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
7 major claims checked against the paper's own evidence: 2 only partially supported (evidence backs part of the claim; gaps or caveats remain); the rest adequately supported.
- partialReviewer 1The intervention was not associated with an increased risk of MACE.The difference in MACE was not statistically significant, but the numerical imbalance (20 vs 11) and the authors' own discussion of potential mechanisms warrant caution.Evidence: 31 patients (6.2%) had a MACE (lifestyle intervention, n = 20 (8.0%); usual care, n = 11 (4.4%); P = 0.15).
“At 12 months, 31 patients (6.2%) had a major adverse cardiovascular event (lifestyle intervention, n = 20 (8.0%); usual care, n = 11 (4.4%); P = 0.15)”
AbstractFind in source - partialReviewer 2The higher number of MACE in the intervention group was unlikely to be causally related to the intervention.The paper provides indirect evidence (most events in non-adherent patients) but cannot rule out causality; the claim is somewhat speculative.Evidence: Most MACE occurred in non-adherent patients; no serious adverse events during exercise.
“Although we observed a numerically higher number of 4P-MACE in the lifestyle intervention group (20 versus 11 events), it is unlikely that this difference was causally related to the exercise intervention, because most events occurred in patients who were nonadherent to the exercise intervention.”
Discussion ¶6Find in source - supportedReviewers 1, 2The telemedicine-supported lifestyle intervention reduced HbA1c after 6 months compared to usual care.The primary endpoint analysis shows a statistically significant difference in the complete-case analysis, supporting the claim.Evidence: Primary endpoint: difference in mean changes −0.13% (95% CI −0.25 to −0.01), P = 0.04.
“The study met its primary endpoint of reduced glycated hemoglobin after 6 months in favor of the lifestyle intervention group (mean between-group difference in the complete-case analysis ( n = 197 and n = 193), −0.13% (95% confidence interval, −0.25 to −0.01), P = 0.04).”
AbstractFind in source - supportedReviewers 1, 2No statistically significant between-group differences were observed at 12 months.The 12-month analysis shows no significant differences, consistent with the claim.Evidence: At 12 months, difference in HbA1c change = −0.01% (95% CI −0.16 to 0.14), P = 0.90.
“When individualized feedback and health literacy training were discontinued after 6 months (while other telemedicine tools were maintained), no statistically significant between-group differences were observed at 12 months.”
AbstractFind in source - supportedReviewers 1, 2The intervention improved body weight, mental QoL, cognitive restraint, and health literacy at 6 months.These secondary endpoints showed statistically significant differences, supporting the claim.Evidence: Body weight: −1.4 kg (95% CI −2.1 to −0.8), P < 0.001; MCS: 2.7 (0.8–4.6), P = 0.006; cognitive restraint: 1.1 (0.3–1.8), P = 0.005; health literacy: 0.6 (0.0–1.2), P = 0.04.
At 6 months, weight loss was significantly higher following lifestyle intervention compared with usual care (difference in mean changes = −1.4 kg (−2.1 to −0.8), P < 0.001). Furthermore, changes in the QoL mental component score (2.7 (0.8–4.6), P = 0.006), the eating behavior score for ‘cognitive restraint of eating’ (1.1 (0.3–1.8), P = 0.005) and health literacy (0.6 (0.0–1.2), P = 0.04) were significantly different between groups.
Resultsreviewer’s wording - supportedReviewer 1The intervention is difficult to implement and has minor clinical effects in this population.The modest effect size, low adherence, and lack of sustained benefit support this conclusion.Evidence: Only 41% fulfilled exercise adherence criteria; effects were not sustained at 12 months.
“In conclusion, an exclusively home-based lifestyle intervention program with telemedicine support and individualized remote counseling is difficult to implement and has minor beneficial clinical effects in older patients with CHD and a long history of T2DM.”
DiscussionFind in source - supportedReviewer 2The intervention had modest effects in patients with CHD and T2DM.The effect size is small (0.13% HbA1c reduction) and not consistent across sensitivity analyses, supporting the 'modest' characterization.Evidence: Primary endpoint effect size is small; multiple imputation analysis showed no significant difference.
“In conclusion, a home-based lifestyle intervention with telemedicine support showed modest effects in patients with CHD and T2DM.”
AbstractFind 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 change in HbA1c, a surrogate biomarker for glycemic control. The paper does not demonstrate target engagement at the tested dose (e.g., PK/PD) nor cite validated evidence linking HbA1c reduction to the specific clinical outcome of interest (major adverse cardiovascular events) in this population. The effect is modest and not sustained.
“The study met its primary endpoint of reduced glycated hemoglobin after 6 months in favor of the lifestyle intervention group (mean between-group difference in the complete-case analysis (n = 197 and n = 193), −0.13% (95% confidence interval, −0.25 to −0.01), P = 0.04).”
- INADEQUATEEffect sizeThe primary effect size is a mean between-group difference in HbA1c of -0.13% at 6 months, which is small and below the commonly accepted minimal clinically important difference of 0.3-0.5% for HbA1c. The paper itself describes the effect as 'modest' and notes that it was not consistent after multiple imputation. No anchor to clinical meaningfulness is provided for the primary endpoint.
“In conclusion, a home-based lifestyle intervention with telemedicine support showed modest effects in patients with CHD and T2DM.”
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
1 finding · worst mediumRequired 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/code availability incompleteAssessed
The introduction cites multiple prior studies and meta-analyses on lifestyle interventions in CHD and T2DM, acknowledges the limited evidence in combined conditions, and clearly states the hypothesis. Limitations of prior research (e.g., transient effects, low adherence) are explicitly discussed and addressed by the telemedicine-supported design.
“We hypothesized that 6 months of individualized, telemedicine-supported, home-based exercise training and nutritional counseling with regular feedback via telephone and e-mail, as well as health literacy education, will significantly reduce HbA1c compared to usual care and that these improvements can be maintained over an additional 6 months without regular feedback and health literacy education.”
“As supervised lifestyle intervention programs are resource-intensive for caregivers and patients alike, and home-based interventions often reveal the disadvantage of low adherence rates, neither type of intervention seems to be sustainable in the long term.”
Randomization was performed using a web-based system stratified by study site with block sizes of four. The paper states that patients and staff were not blinded, but adverse event forms were reviewed by a physician blinded to treatment group. A sample size calculation was performed, though the target was not met due to COVID-19. Inclusion/exclusion criteria are detailed. Missing data handling (multiple imputation) and per-protocol analyses are pre-specified.
“Eligible patients were randomly assigned (1:1) to lifestyle intervention or usual care using a web-based system (secuTrial, interActive Systems GmbH) stratified by study site with block sizes of four.”
“Each adverse event form was reviewed by one physician blinded to treatment group assignment.”
“Eligible patients were randomly assigned (1:1) to lifestyle intervention or usual care using a web-based system (secuTrial, interActive Systems GmbH) stratified by study site with block sizes of four.”
“Each adverse event form was reviewed by one physician blinded to treatment group assignment.”
The paper reports sex (84% men), age (mean 68 years), and health status (HbA1c, BMI, comorbidities) in Table 1. Since both sexes are enrolled, sex_justified is not applicable. Demographics are adequately reported.
“68 ± 8 years; 84% men”
“502 patients with combined CHD and T2DM (68 ± 8 years; 84% men)”
The paper states approval by the ethics committee of the Technical University of Munich (reference 144/18 S) and other local ethics committees. Written informed consent was obtained from all participants. Regulatory compliance is implied by adherence to ethical standards.
“The original study protocol was approved by the ethics committee of the Technical University of Munich on 7 May 2018 (reference: 144/18 S) and the local ethics committees at the Universities of Berlin, Aachen, Magdeburg, Dresden, Leipzig, Greifswald and Freiburg, and the ethics committees of the Medical Associations of Hesse and Baden-Württemberg.”
“All participants provided written informed consent.”
“The original study protocol was approved by the ethics committee of the Technical University of Munich on 7 May 2018 (reference: 144/18 S) and the local ethics committees at the Universities of Berlin, Aachen, Magdeburg, Dresden, Leipzig, Greifswald and Freiburg, and the ethics committees of the Medical Associations of Hesse and Baden-Württemberg.”
“All participants provided written informed consent.”
The intervention is described in detail: exercise training, nutritional counseling, and health literacy training. The smartphone application (LeIKD app) and devices (Polar H7, Beurer pedometer, glucose meter) are named with manufacturers. Software tools (secuTrial, R) are identified. Since this is a behavioral intervention, bench resources are not applicable.
“All statistical tests were performed using R Statistical Software (v.4.0.2, R Foundation for Statistical Computing)”
“All statistical tests were performed using R Statistical Software (v.4.0.2, R Foundation for Statistical Computing)”
The paper names the tests used (t-tests, chi-square test) and reports exact p-values (e.g., P = 0.04) and confidence intervals. Effect sizes are reported with CIs. Software is identified. Data presentation includes per-group n and dispersion. Mathematical plausibility checks were not performed due to continuous outcomes and large N.
“All endpoints except for the number of patients with 4P-MACE were evaluated with t tests for independent samples, whereas the number of patients with 4P-MACE was evaluated with the χ 2 test.”
“mean between-group difference in the complete-case analysis ( n = 197 and n = 193), −0.13% (95% confidence interval, −0.25 to −0.01)”
“All endpoints except for the number of patients with 4P-MACE were evaluated with t tests for independent samples, whereas the number of patients with 4P-MACE was evaluated with the χ 2 test.”
“difference in mean changes, −0.13% (95% CI, −0.25 to −0.01%), P = 0.04”
The data availability statement says aggregated data may be shared upon request to the corresponding author after consultation with data protection officers and signing a data sharing agreement. This is a managed-access route but lacks a named platform or committee, making it reported_but_inadequate. No code is shared, but the study is a clinical trial, so code sharing is not applicable.
The trial is registered (NCT03835923). Methods are detailed enough for replication. Limitations are thoroughly discussed, including COVID-19 impact, low adherence, and lack of blinding. Conclusions are appropriately cautious. Funding and competing interests are declared.
“ClinicalTrials.gov registration: NCT03835923”
“The present study has several limitations. Foremost, the COVID-19 pandemic had a significant influence on the original study design impairing patient recruitment, forcing intermediate closures of study sites and sports facilities and other legal restrictions.”
“This study was funded by the Federal Joint Committee (Innovationsfonds des Gemeinsamen Bundesausschusses; reference 01NVF17015 (to B.H., V.A. and M.H.)).”
“ClinicalTrials.gov registration: NCT03835923”
“The present study has several limitations. Foremost, the COVID-19 pandemic had a significant influence on the original study design impairing patient recruitment, forcing intermediate closures of study sites and sports facilities and other legal restrictions.”
Registered (1 ID: ClinicalTrials.gov). No reporting guideline cited.
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.
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1 data/code link checked; 1 live.
- datahttps://clinicaltrials.gov/ct2/show/NCT03835923LIVEHTTP 200Resolves, but the content could not be matched to the paper.
Copyediting
5 minorWording, consistency and formatting errors that need correcting before submission.
No major wording or formatting errors. 5 minor suggestions below.
5 copyedit issues flagged: mostly consistency, typo, clarity.
- MINORconsistencyTable 1, 'Handling of technical devices' row“Unknown | 15 (6.0%) | 29 (8.5%)”→ Check the percentage for usual care: 29/248 = 11.7%, not 8.5%.The percentage appears inconsistent with the count and group total.
- MINORtypoMethods, Examinations and endpoints“TEFQ”→ Change to TFEQ for consistency with the abbreviation used elsewhere.Inconsistent abbreviation for Three-Factor Eating Questionnaire.
- MINORclarityAbstract“The study met its primary endpoint of reduced glycated hemoglobin after 6 months in favor of the lifestyle intervention group”→ Consider clarifying that the primary endpoint was the change in HbA1c, not 'reduced glycated hemoglobin'.Slight ambiguity in phrasing.
- MINORconsistencyTable 1, 'Handling of technical devices' row“Unknown | 15 (6.0%) | 29 (8.5%)”→ Check if the percentage for usual care (8.5%) is correct; it may be a typo for 11.7% based on the sum of other categories.The percentages in the 'Handling of technical devices' row do not sum to 100% for the usual care group (12.1+67.3+8.5=87.9), suggesting a possible error.
- MINORtypoMethods, Examinations and endpoints“TEFQ”→ Change to TFEQ (Three-Factor Eating Questionnaire) for consistency.The abbreviation TEFQ is used inconsistently; elsewhere it is TFEQ.
The published work is robust overall, but an informed reader should weigh the vague data availability statement and the minor Table 1 percentage inconsistency. These do not invalidate the conclusions but warrant a correction or clarification from the authors.
- 1.HIGHdata codeIn the Data availability section, specify a concrete data access mechanism, such as a named data access committee or a platform like Vivli, and provide a timeline for response.The current 'on request' statement is vague and does not meet transparency standards for a clinical trial.
- 2.HIGHreportingIn Table 1, 'Handling of technical devices' row, correct the percentage for usual care 'Unknown' from 8.5% to 11.7% (29/248) and ensure all percentages sum to 100%.The current percentage is internally inconsistent and could be seen as a data error.
- 3.MEDIUMcopyeditIn Methods, Examinations and endpoints, change 'TEFQ' to 'TFEQ' for consistency with the abbreviation used elsewhere.Inconsistent abbreviation for the Three-Factor Eating Questionnaire may confuse readers.
- 4.MEDIUMreportingIn the Reporting summary, explicitly state adherence to CONSORT guidelines and provide the checklist as supplementary material.Reviewer 1 flagged the reporting guideline as inadequate; explicit CONSORT adherence strengthens transparency.
- 5.MEDIUMdata codeConsider depositing the statistical analysis code (e.g., R scripts for imputation and analysis) in a public repository like Zenodo with a DOI.Sharing code enhances reproducibility, though not strictly required for a clinical trial.
- 6.MEDIUMreportingIn the Abstract, clarify that the primary endpoint was the change in HbA1c, not 'reduced glycated hemoglobin'.The current phrasing is slightly ambiguous and could be misinterpreted.
- 7.MEDIUMethicsIn the Ethics approval section, explicitly state adherence to the Declaration of Helsinki or another recognized ethical framework.Reviewer 2 noted regulatory compliance is implied but not explicitly named; adding this strengthens the ethics reporting.
- 8.MEDIUMstatisticsIn the Methods, clarify the handling of missing data for secondary endpoints and whether multiple imputation was applied to them.Reviewer 1 suggested this to improve completeness of the statistical methods.
- 9.MEDIUMstatisticsIn the Discussion, explicitly address the potential for type I error due to multiple comparisons, even though CIs were not adjusted.Preempts criticism about multiple testing in secondary endpoints.
- 10.LOWreportingIn the Results, report the number of patients with missing data for each secondary endpoint in the tables.Improves transparency about missingness beyond the primary endpoint.
- 11.LOWdata codeIn the Data availability statement, clarify whether the aggregated data include individual-level data or only summary statistics.Sets expectations for potential reusers and clarifies the scope of sharing.
- 12.LOWreportingIn the Methods, specify the version of the statistical analysis plan and how deviations were handled.Strengthens adherence to pre-specified analyses and transparency.
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.