Evidence map›Paper›PMID 35007787›Full record

Trial reportContemporary clinical trials2022

Effectiveness of "run-ins" at predicting adherence in a behavioral weight loss efficacy trial.

Tricia M Leahey, Loneke T Blackman Carr, Zeely Denmat, Denise Fernandes, Amy A Gorin

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Contemporary clinical trials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Tricia M LeaheyUniversity of Connecticut, Department of Allied Health Sciences, Koons Hall, 358 Mansfield Rd., Unit 1101, Storrs, CT 06269-1101, USA. Electronic address: tricia.leahey@uconn.edu.
Loneke T Blackman CarrUniversity of Connecticut, Department of Nutritional Sciences, Roy E. Jones Bldg., 27 Mander Rd., Unit 4017, Storrs, CT 06269-1101, USA. Electronic address: loneke.blackman_carr@uconn.edu.
Zeely DenmatUniversity of Connecticut, Institute for Collaboration on Health, Intervention, and Policy, 2006 Hillside Rd., Unit 1248, Storrs, CT 06269-1101, USA. Electronic address: zeely.denmat@uconn.edu.
Denise FernandesUniversity of Connecticut, Institute for Collaboration on Health, Intervention, and Policy, 2006 Hillside Rd., Unit 1248, Storrs, CT 06269-1101, USA. Electronic address: denise.pierre@uconn.edu.
Amy A GorinUniversity of Connecticut, Department of Psychological Sciences, Bousfield Psychology Building, 406 Babbidge Rd, Unit 1020, Storrs, CT 06269-1101, USA. Electronic address: amy.gorin@uconn.edu.

Funding

A Randomized Trial Testing Lay Health Coaches for Obesity TreatmentR01DK095771 · NIDDK · UNIVERSITY OF CONNECTICUT STORRS · PI LEAHEY, TRICIA M · 2012 to 2016
$1.8M
NIDDK NIH HHS R01 DK095771
6 · The paper itself

Abstract

There is limited research on whether run-in procedures predict participant adherence during behavioral efficacy trials. This study examined whether information from behavioral run-ins (food diary completion, questionnaire completion, and staff interview) predict intervention adherence, trial retention, and trial outcomes in a behavioral weight loss trial. Using run-in data, trial staff predicted which participants would have high, moderate, or low trial adherence. Participants with predicted high or moderate adherence were randomized. Results showed that predicted high adherers had better intervention adherence (session attendance and completion of self-monitoring records) and superior trial outcomes (i.e. weight loss). Run-in data did not predict trial retention. Results suggest that run-ins may be effective at identifying participants adherent to intervention protocols, thereby enhancing internal validity of behavioral efficacy trials.

Indexed as

Weight LossHumansBehavioral efficacy trialBehavioral run-inIntervention adherenceTrial outcomesTrial retentionWeight loss

Identifiers

PMID35007787
PMCPMC8934261

What OpenQuestion holds

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Registered trials

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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.