Evidence map›Paper›PMID 39611706›Full record

ReviewMedical education online2024

Thinkings on the reform of medical education system in China.

Hongtao Tie, Yuxiang Luo, Dan Chen

Abstract readReview
In one paragraph

Review in Medical education online, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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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

3 authors.

Hongtao TieDepartment of Cardiothoracic Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yuxiang LuoDepartment of Cardiothoracic Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Dan ChenDepartment of Cardiothoracic Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Different clinical medicine programs exist in China, which are mainly the 3-year junior college medical program, the 5-year medical bachelor's degree program, the 5 + 3 medical master's degree program, and the 8-year medical doctoral degree program. Medical graduates obtain different degrees from various medical programs, leading to inequality and polarization of the cultivation. The extended length of schooling discourages talented students from pursuing clinical medicine. The current situation has worsened due to the mismatch between clinical competence and promotion, as well as insufficient remuneration. The most critical reform measure is to establish separate degree systems for scientific research skill training and clinical training, which helps clarify the boundaries between these two. Students who receive academic postgraduate education obtain academic degrees, such as the master of medical science and doctor of philosophy; students who take part in the national standardized resident training, specialist training, or general practitioner training obtain professional degrees, such as master of medicine and doctor of medicine. It is imperative to consider shortening the duration of medical education, with an ideal limit of eight years on average. Optimizing the way to promotion and raising the expenditure of remuneration are also crucial. The reform of medical education system in China still has a long way to go and requires gradual adjustment and optimization.

Indexed as

Education, MedicalChinaClinical CompetenceEducation, Medical, GraduateHumansclinical trainingMedical educationmedical practitionersmedical reformationpostgraduate education

Identifiers

PMID39611706
PMCPMC10783844

What OpenQuestion holds

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LicenceCC BY-NC
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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.