Evidence map›Paper›PMID 34179546›Full record

ArticleProgress in rehabilitation medicine2021

Publication Trends in Physical Medicine and Rehabilitation in Japan from 2001 to 2019.

Yoshitaka Wada, Nobuyuki Kawate

Abstract read
In one paragraph

Article in Progress in rehabilitation medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yoshitaka WadaDepartment of Rehabilitation Medicine, Showa University Fujigaoka Rehabilitation Hospital, Kanagawa, Japan.
Nobuyuki KawateDepartment of Rehabilitation Medicine, Showa University Fujigaoka Rehabilitation Hospital, Kanagawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to examine, using PubMed, the number of articles in the field of physical medicine and rehabilitation medicine originating in Japan, especially those containing high-quality scientific evidence (randomized controlled trials [RCTs], systematic reviews, meta-analyses) and those published in high impact factor journals.

methodsWe searched the PubMed database to identify articles, RCTs, systematic reviews, and meta-analyses from Japan covering physical medicine and rehabilitation published between 2001 and 2019; we then calculated the proportion of articles from Japan. Additionally, using Journal Citation Reports, we selected the top ten highest impact factor journals on "Rehabilitation" each year between 2001 and 2019. For each year, we searched PubMed for the total number of articles in these top ten journals and for articles originating in Japan. The Cochran-Armitage test was used to evaluate the change in the proportion of publications from Japan over time.

resultsThe proportion of articles on physical medicine and rehabilitation originating in Japan increased from 2001 to 2019 (P<0.0001). An increase in the percentages of systematic reviews (P=0.046) and meta-analyses (P=0.0013) originating in Japan and a decrease in the percentage of original articles published in the top ten highest impact factor journals were demonstrated (P=0.002). However, there was no change in the percentage of RCTs from Japan over time (P=0.055).

conclusionsOur findings suggest that the proportion of articles from Japan containing high-quality scientific evidence is increasing. However, there is a need to expand the support system for research while considering the quality of research.

Indexed as

Japanmedical researchmeta-analysesrandomized controlled trialsystematic review

Identifiers

PMID34179546
PMCPMC8214998

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Registered trials

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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.