Evidence map›Paper›PMID 37481584›Full record

ArticleDiabetology & metabolic syndrome2023

Correcting calculation and data errors reveals that the original conclusions were incorrect in "The best drug supplement for obesity treatment: a systematic review and network meta-analysis".

Xiaoxin Yu, Patrice L Capers, Roger S Zoh, David B Allison

Open access · goldAbstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 40% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Xiaoxin YuDepartment of Epidemiology and Biostatistics, School of Public Health, Indiana University - Bloomington, 1025 E. 7th St, Bloomington, IN, 47405, USA.
Patrice L CapersDepartment of Biology, Swain Family School of Science and Mathematics, The Citadel - Charleston, Charleston, SC, USA.
Roger S ZohDepartment of Epidemiology and Biostatistics, School of Public Health, Indiana University - Bloomington, 1025 E. 7th St, Bloomington, IN, 47405, USA.
David B AllisonDepartment of Epidemiology and Biostatistics, School of Public Health, Indiana University - Bloomington, 1025 E. 7th St, Bloomington, IN, 47405, USA. allison@iu.edu.
Indiana University Bloomington · USCitadel · US

Funding

Measurement error correction approaches to wearable device-based measures of physical activity and self-reported measures of dietary intake in obesity and type 2 diabetes researchR01DK132385 · NIDDK · TRUSTEES OF INDIANA UNIVERSITY · PI TEKWE, CARMEN D. · 2022 to 2025
$2.3M
Strengthening Causal Inference in Behavioral Obesity ResearchR25HL124208 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ALLISON, DAVID B, BROWN, ANDREW W · 2014 to 2023
$1.8M
NHLBI NIH HHS R25 HL124208NIH HHS R01DK132385NIH HHS R25HL124208
6 · The paper itself

Abstract

The goal of this study was to reproduce and evaluate the reliability of the network meta-analysis performed in the article "The best drug supplement for obesity treatment: A systematic review and network meta-analysis" by Salari et al. In recent years, it has become more common to employ network meta-analysis to assess the relative efficacy of treatments often used in clinical practice. To duplicate Salari et al.'s research, we pulled data directly from the original trials and used Cohen's D to determine the effect size for each treatment. We reanalyzed the data since we discovered significant differences between the data we retrieved and the data given by Salari et al. We present new effect size estimates for each therapy and conclude that the prior findings were somewhat erroneous. Our findings highlight the importance of ensuring the accuracy of network meta-analyses to determine the quality and strength of existing evidence.

Indexed as

Drug supplementNetwork meta-analysisObesity treatmentReproducibilityRigor

Identifiers

PMID37481584
PMCPMC10362736
OpenAlexW4385074902

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.