ArticleObesity (Silver Spring, Md.)2017
Validation of clinic weights from electronic health records against standardized weight measurements in weight loss trials.
Article in Obesity (Silver Spring, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Trial
- Comparison of weight loss data collected by research technicians versus electronic medical records: the PROPEL trial.International journal of obesity (2005) · 2022Trial
- Effect of a Culturally Adapted Behavioral Intervention for Latino Adults on Weight Loss Over 2 Years: A Randomized Clinical Trial.JAMA network open · 2020Trial
- Trial
- Real-world use and effectiveness of tirzepatide among individuals without type 2 diabetes: Results from the Optum Market Clarity database.Diabetes, obesity & metabolism · 2025Observational
- Four-year follow-up of weight loss maintenance using electronic medical record data: The PROPEL trial.Obesity science & practice · 2024Article
- Vida Sana y Completa: A randomized controlled trial to examine the effectiveness of diabetes prevention with and without medically supportive groceries among Latina women.Contemporary clinical trials · 2024Article
- Mental health diagnosis attenuates weight loss among older adults in a digital diabetes prevention program.Obesity science & practice · 2023Article
- Exploring the clinical and genetic associations of adult weight trajectories using electronic health records in a racially diverse biobank: a phenome-wide and polygenic risk study.The Lancet. Digital health · 2022Article
- Evaluating the Implementation of a Digital Diabetes Prevention Program in an Integrated Health Care Delivery System Among Older Adults: Results of a Natural Experiment.Clinical diabetes : a publication of the American Diabetes Association · 2022Article
- Weight stability masks changes in body composition in colorectal cancer: a retrospective cohort study.The American journal of clinical nutrition · 2021Article
- Can Electronic Health Records Validly Estimate the Effects of Health System Interventions Aimed at Controlling Body Weight?Obesity (Silver Spring, Md.) · 2020Article
- Testing a self-directed lifestyle intervention among veterans: The D-ELITE pragmatic clinical trial.Contemporary clinical trials · 2020Article
- Chronic obstructive pulmonary disease exacerbation episodes derived from electronic health record data validated using clinical trial data.Pharmacoepidemiology and drug safety · 2019Article
- Weight up? Changes in children's anthropometry from time of referral to baseline assessment for paediatric weight management.Paediatrics & child health · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
objectiveTo validate clinic weights in electronic health records against researcher-measured weights for outcome assessment in weight loss trials.
methodsClinic and researcher-measured weights from a published trial (BE WELL) were compared using Lin's concordance correlation coefficient, Bland and Altman's limits of agreement, and polynomial regression model. Changes in clinic and researcher-measured weights in BE WELL and another trial, E-LITE, were analyzed using growth curve modeling.
resultsAmong BE WELL (n = 330) and E-LITE (n = 241) participants, 96% and 90% had clinic weights (mean [SD] of 5.8 [6.1] and 3.7 [3.9] records) over 12 and 15 months of follow-up, respectively. The concordance correlation coefficient was 0.99, and limits of agreement plots showed no pattern between or within treatment groups, suggesting overall good agreement between researcher-measured and nearest-in-time clinic weights up to 3 months. The 95% confidence intervals for predicted percent differences fell within ±3% for clinic weights within 3 months of the researcher-measured weights. Furthermore, the growth curve slopes for clinic and researcher-measured weights by treatment group did not differ significantly, suggesting similar inferences about treatment effects over time, in both trials.
conclusionsCompared with researcher-measured weights, close-in-time clinic weights showed high agreement and inference validity. Clinic weights could be a valid pragmatic outcome measure in weight loss studies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.