Evidence map›Paper›PMID 33734411›Full record

ArticleJAMA network open2021

Assessment of Concordance and Discordance Among Clinical Studies Posted as Preprints and Subsequently Published in High-Impact Journals.

Xiaoting Shi, Joseph S Ross, Nishita Amancharla, Joshua D Niforatos, Harlan M Krumholz, Joshua D Wallach

Abstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Predicting substantive biomedical citations without full text.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
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

6 authors.

Xiaoting ShiDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut.
Joseph S RossSection of General Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Nishita AmancharlaYale College, New Haven, Connecticut.
Joshua D NiforatosDepartment of Emergency Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland.
Harlan M KrumholzSection of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut.
Joshua D WallachDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Identifying Patient Subgroups That Are Most Likely To Benefit From Medications Used To Treat Alcohol Use DisorderK01AA028258 · NIAAA · YALE UNIVERSITY · PI WALLACH, JOSHUA DAVID · 2021 to 2025
$892k
NCATS NIH HHS UL1 TR001863NIAAA NIH HHS K01 AA028258
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Clinical Studies as TopicJournal Impact FactorHumansPeriodicals as TopicPreprints as TopicPublications

Identifiers

PMID33734411
PMCPMC7974637

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.