Evidence map›Paper›PMID 41229664›Full record

ArticleJournal of the Medical Library Association : JMLA2025

PubMed Central: offering a trove of historical medical journals.

Jeffrey S Reznick, Kathryn Funk, Laura Randall, Katy Rose Taylor, Katherine Chan, Ellen Adams

Abstract readHistorical Article
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the Medical Library Association : JMLA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jeffrey S Reznickjeffrey.reznick@nih.gov, Senior Historian, National Library of Medicine, National Institutes of Health, Bethesda, MD.
Kathryn Funkkathryn.funk@nih.gov, Supervisory Technical Information Specialist, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD.
Laura Randalllaura.randall@nih.gov, Technical Information Specialist, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD.
Katy Rose Taylorkaty.taylor@nih.gov, Technical Information Specialist, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD.
Katherine Chankatie.chan@nih.gov, Program Analyst (Evaluation and Data), National Library of Medicine, National Institutes of Health, Bethesda, MD.
Ellen Adamsellenpadams@gmail.com, BLH Technologies, Inc., Rockville, MD.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article briefly documents the history and significance of PubMed Central (PMC) Journal Backfiles Digitization, 2004-2024 to raise awareness of this open access project among researchers who will find much to discover to advance understanding about the human condition across time and place. The success of PMC Journal Backfiles Digitization-including the interdisciplinary teamwork and partnerships underpinning it-provides a blueprint for future efforts to make the globally appreciated collections of the National Library of Medicine (NLM) accessible to all. By continuing to prioritize open access, teamwork, and partnerships, NLM and likeminded institutions can ensure that knowledge and data inform the advancement of medicine and public health.

Indexed as

Periodicals as TopicPubMedHistory, 20th CenturyHistory, 21st CenturyHumansNational Library of Medicine (U.S.)United StatesArticlesBiomedical journalsDigitizationHistorical Medical ArchivePubMed Central

Identifiers

PMID41229664
PMCPMC12604060

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.