Evidence map›Paper›PMID 35085830›Full record

ReviewContemporary clinical trials2022

Randomized clinical trials of weight loss: Pragmatic and digital strategies and innovations.

Bhav Jain, Simar S Bajaj, Fatima Cody Stanford

Abstract readReview
In one paragraph

Review 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. Trial
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  4. Review
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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

3 authors.

Bhav JainMassachusetts Institute of Technology, Cambridge, MA, United States of America.
Simar S BajajHarvard University, Cambridge, MA, United States of America.
Fatima Cody StanfordMassachusetts General Hospital, Neuroendocrine Unit, Department of Medicine, United States of America; Harvard Medical School, Boston, MA, United States of America; Department of Pediatrics-Division of Endocrinology, Nutrition Obesity Research Center at Harvard (NORCH), 50 Staniford Street, Boston, MA 02114, United States of America. Electronic address: fstanford@mgh.harvard.edu.

Funding

ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI CHRISTOPHER P DUGGAN · 1994 to 2026
$31.6M
NIDDK NIH HHS P30 DK040561
6 · The paper itself

Abstract

During the COVID-19 pandemic, digital strategies and decentralized approaches allowed for the continuation of weight loss clinical trials despite in-person engagement coming to a halt. In particular, trials leveraged remote mediums to measure data in real-time across a broad array of metrics while testing novel strategies to streamline patient care. Such approaches may address longstanding challenges with traditional trials, including attrition and underrepresentation of racial and ethnic minorities. Ultimately, emerging data from trials utilizing both digital and in-person strategies may indicate the promise of a hybrid approach in incorporating a robust virtual component for continuous patient monitoring and an in-person component for patient adherence and data standardization. In this commentary, we provide an overview of the most innovative digital approaches in clinical trials of weight loss during the COVID-19 era, as well as identify opportunities and challenges for these modes of research going forward.

Indexed as

COVID-19PandemicsHumansPatient ComplianceRandomized Controlled Trials as TopicWeight LossDigital trialsRemote clinical trialsWeight loss trials

Identifiers

PMID35085830
PMCPMC8785263

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.