Evidence map›Paper›PMID 37928126›Full record

ArticleJournal of the Medical Library Association : JMLA2023

Recognizing the value of meta-research and making it easier to find.

Elizabeth R Stevens, Gregory Laynor

Open access · diamondAbstract read
In one paragraph

Article in Journal of the Medical Library Association : JMLA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

2 authors at 1 institution in 1 country.

Elizabeth R Stevenselizabeth.stevens@nyulangone.org, Department of Population Health, NYU Grossman School of Medicine, New York, NY.
Gregory Laynorgregory.laynor@nyulangone.org, NYU Health Sciences Library, NYU Grossman School of Medicine, New York, NY.
New York University · US

Funding

Advancing the Development of Collaborative Research Networks to Enhance Aging Research ValueK01AG075169 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Elizabeth Reid Stevens · 2022 to 2026
$639k
NIA NIH HHS K01 AG075169
6 · The paper itself

Abstract

Meta-research is a bourgeoning field studying topics with significant relevance to health sciences librarianship, such as research reproducibility, peer review, and open access. As a discipline that studies research itself and the practices of researchers, meta-research spans disciplines and encompasses a broad spectrum of topics and methods. The breadth of meta-research presents a significant challenge for identifying published meta-research studies. Introducing a subject heading for meta-research in the controlled vocabularies of literature databases has the potential to increase the visibility of meta-research, further advance the field, and expand its impact on research practices. Given the relatively recent designation of meta-research as a field and its expanding use as a term, now is the time to develop appropriate indexing vocabulary. We seek to call attention to the value of meta-research for health sciences librarianship, describe the challenges of identifying meta-research literature with currently available key terms, and highlight the need to establish controlled vocabulary specific to meta-research.

Indexed as

Library ScienceMedicineReproducibility of ResultsVocabulary, ControlledindexingMeta-researchresearch on research

Identifiers

PMID37928126
PMCPMC10621717
OpenAlexW4387245739

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.