Evidence map›Paper›PMID 35223059›Full record

ArticleRoyal Society open science2022

The puzzling relationship between multi-laboratory replications and meta-analyses of the published literature.

Molly Lewis, Maya B Mathur, Tyler J VanderWeele, Michael C Frank

Abstract read
In one paragraph

Article in Royal Society open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Toward Open and Reproducible Epidemiology.American journal of epidemiology · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

4 authors.

Molly LewisDepartment of Psychology Carnegie Mellon University, Pittsburgh, PA, USA.ORCID 0000-0003-3004-8446
Maya B MathurQuantitative Sciences Unit, Palo Alto, CA, USA.
Tyler J VanderWeeleHarvard University, Cambridge, MA, USA.
Michael C FrankDepartment of Psychology Stanford University, Palo Alto, CA, USA.

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Melinda L. Telli · 2007 to 2026
$71.4M
Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
Theory and methods for mediation and interactionR01CA222147 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI TCHETGEN TCHETGEN, ERIC JOEL, VANDERWEELE, TYLER · 2018 to 2022
$2.1M
Statistical Methods for Modern Evidence Syntheses with Multiple BiasesR01LM013866 · NLM · STANFORD UNIVERSITY · PI MATHUR, MAYA · 2021 to 2024
$1.3M
NCATS NIH HHS UL1 TR003142NCI NIH HHS P30 CA124435NCI NIH HHS R01 CA222147NIDDK NIH HHS P30 DK116074NLM NIH HHS R01 LM013866
6 · The paper itself

Abstract

What is the best way to estimate the size of important effects? Should we aggregate across disparate findings using statistical meta-analysis, or instead run large, multi-laboratory replications (MLR)? A recent paper by Kvarven, Strømland and Johannesson (Kvarven

Indexed as

meta-analysismeta-sciencemulti-laboratory replication

Identifiers

PMID35223059
PMCPMC8864345

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.