ArticleJMA journal2024
The First-authored Papers Written by Chief Professors: Comparison before versus after Becoming a Professor.
Article in JMA journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- In reply: different viewpoints on research misconduct-comment on 'Anesthesia research misconduct in Japan: understanding the status is critical to prevention' by Hirota et al.Journal of anesthesia · 2026Article
- Different viewpoints on research misconduct-comment on 'Anesthesia research misconduct in Japan: understanding the status is critical to prevention' by Hirota et al.Journal of anesthesia · 2026Article
- Author Number May Matter in Determining Author Order.Clinical and translational science · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
I have long harbored the impression that professors of clinical medicine specialties tend to produce fewer first-authored papers after their professorship appointments, despite their prior output of first-authored papers. This humble experiment attempted in providing some suggestions for this issue. I identified 11 chief professors of the obstetrics and gynecology departments of Japanese medical universities who were appointed professorships during 201X - 201X + 3 (covering 4 years). The numbers of PubMed-indexed first-authored papers were retrieved: 7-4 years prior (Period 1), 3-0 years prior (Period 2), and 1-4 years after (Period 3) their professorship appointments. 1) The "total" number of papers in Periods 1, 2, and 3 was 38, 33, and 4, respectively. 2) The "median" number of papers written by an individual professor in Periods 1, 2, and 3 was 3, 2, and 0, respectively. 3) "Annual average" paper numbers per person before (Periods 1 + 2) versus after (Period 3) was 0.81 ((38 + 33)/(11 persons × 8 years)) and 0.09 (4/(11 × 4))/person/year, respectively. I did the same for "corresponding-authored papers or last-authored papers." The results were as follows: 1) the "total" was 50, 74, and 143, respectively; 2) the "median" was 4, 5, and 7, respectively; and 3) the "annual average" was 1.41 versus 3.25/person/year. Thus, immediately after professorship appointments, the number of first-authored papers markedly decreased, although that of corresponding- or last-authored papers increased. The reason for this phenomenon may be multifactorial. However, societies should create an atmosphere where professors are relieved from excessive burdens and should be encouraged to engage in first-author paper writing as before if they desire. Societies want to hear professors' own voices which enrich academic discourse. Although the present experiment targeted only Japanese obstetrics and gynecology professors for a limited time, I hope to provoke some discussion regarding paper writing and professorship.
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What OpenQuestion holds
Registered trials
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.