Evidence map›Paper›PMID 25871982›Full record

ArticleObesity facts2015

Concerning Sichieri R, Cunha DB: Obes Facts 2014;7:221–232. The Assertion that Controlling for Baseline (Pre-Randomization) Covariates in Randomized Controlled Trials Leads to Bias is False.

Peng Li, Andrew W Brown, John A Dawson, Kathryn A Kaiser, Michelle M Bohan Brown, Scott W Keith, J Michael Oakes, David B Allison

Abstract readLetterComment
In one paragraph

Article in Obesity facts, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Issues with data and analyses: Errors, underlying themes, and potential solutions.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Peng Li
Andrew W Brown
John A Dawson
Kathryn A Kaiser
Michelle M Bohan Brown
Scott W Keith
J Michael Oakes
David B Allison

Funding

Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI James O Hill · 2000 to 2026
$31.9M
UAB Statistical Genetics Post-Doctoral Training ProgramT32HL072757 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI TIWARI, HEMANT K. · 2003 to 2016
$3.8M
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 HL124208NHLBI NIH HHS R25HL124208NHLBI NIH HHS T32 HL072757NHLBI NIH HHS T32HL072757NIDDK NIH HHS P30 DK056336NIDDK NIH HHS P30DK056336
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

BiasBody Mass IndexSchoolsHumansPediatric Obesity

Identifiers

PMID25871982
PMCPMC4494880

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.