Evidence map›Paper›PMID 41556995›Full record

ArticleSurgery today2026

Longer hours, limited returns? a post-hoc National survey analysis of overtime hours during surgical training in Japan.

Yoshiko Yamaoka-Fujikawa, Yoshiyuki Kiyasu, Saseem Poudel, Takashi Kohmura, Jun Watanabe, Daisuke Koike, Naohiro Yamamoto, Chiaki Suda, Atsushi Tanikawa, Mitsue Saito and 2 more

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Article in Surgery today, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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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

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Yoshiko Yamaoka-FujikawaDepartment of Upper Gastrointestinal Surgery, Kitasato University School of Medicine, Kanagawa,1-15-1 Kitasato, Minami-ku, Sagamihara, 252-0375, Japan.
Yoshiyuki KiyasuJapan Surgical Society Education Committee, Japan Surgical Society, Tokyo, Japan. ykiyasu@kuhp.kyoto-u.ac.jp.ORCID http://orcid.org/0000-0001-6527-8255
Saseem PoudelJapan Surgical Society Education Committee, Japan Surgical Society, Tokyo, Japan.
Takashi KohmuraJapan Surgical Society Education Committee, Japan Surgical Society, Tokyo, Japan.
Jun WatanabeJapan Surgical Society Education Committee, Japan Surgical Society, Tokyo, Japan.
Daisuke KoikeJapan Surgical Society Education Committee, Japan Surgical Society, Tokyo, Japan.
Naohiro YamamotoJapan Surgical Society Education Committee, Japan Surgical Society, Tokyo, Japan.
Chiaki SudaJapan Surgical Society Education Committee, Japan Surgical Society, Tokyo, Japan.
Atsushi TanikawaJapan Surgical Society Education Committee, Japan Surgical Society, Tokyo, Japan.
Mitsue SaitoJapan Surgical Society Education Committee, Japan Surgical Society, Tokyo, Japan.
Norihiko IkedaJapan Surgical Society, Tokyo, Japan.
Akinobu TaketomiJapan Surgical Society, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the amount of overtime hours in relation to surgical training outcomes in Japan.

methodsData from a nationwide online questionnaire survey of newly certified surgical trainees were analyzed based on the amount of overtime. Respondents were divided into 2 groups: Group L had worked > 80 h per month, and Group S had worked ≤ 80 h per month. Differences in training outcomes, workplace environments, and challenges were analyzed.

resultsAmong 1410 surgical trainees, 694 respondents who gave valid answers were classified into Group L (n = 462, 67%) and Group S (n = 232, 33%). No significant differences were observed in terms of the number of surgeries (p = 0.95), scientific papers (p = 0.38) or annual income (9.11 vs. 9.46 million JPY, p = 0.94). The proportion of respondents who considered dropping out, felt harassed, or dissatisfied was significantly higher in Group L than in Group S (p = 0.0001, p < 0.0001, and p = 0.0076, respectively).

conclusionIncreased overtime hours did not correlate with positive outcomes such as the number of surgeries performed, scientific publications, or annual income. In contrast, negative outcomes, such as dropout thoughts and feelings of harassment, increased. These findings imply that less overtime and improved overtime management could make surgery more appealing to future applicants.

Indexed as

General SurgeryInternship and ResidencyPersonnel Staffing and SchedulingWorkloadFemaleHumansIncomeJapanJob SatisfactionMaleSurveys and QuestionnairesTime FactorsWork Schedule ToleranceLong working hoursOvertime hoursSurgical training

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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.