Evidence map›Paper›PMID 38490665›Full record

SynthesisBMJ (Clinical research ed.)2024

Assessing robustness to worst case publication bias using a simple subset meta-analysis.

Maya B Mathur

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMJ (Clinical research ed.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 5 pooled it
–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

9 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Article
  7. Review
  8. Review
  9. Review
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

1 author.

Maya B MathurQuantitative Sciences Unit and Department of Pediatrics, Stanford University, Palo Alto, CA 94304, USA.ORCID 0000-0001-6698-2607

Funding

Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
Statistical Methods for Modern Evidence Syntheses with Multiple BiasesR01LM013866 · NLM · STANFORD UNIVERSITY · PI MATHUR, MAYA · 2021 to 2024
$1.3M
NCATS NIH HHS UL1 TR003142NLM NIH HHS R01 LM013866
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Publication BiasData Interpretation, StatisticalHumans

Identifiers

PMID38490665
PMCPMC10941077

What Socratic 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 Socratic graph.