Evidence map›Paper›PMID 39013829›Full record

ReviewZhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery2024

[Advances in clinical repair techniques for localized knee cartilage lesions].

Guangzhao Tian, Runmeng Li, Yongkang Yang, Chao Ning, Quanyi Guo

Abstract readReviewEnglish Abstract
In one paragraph

Review in Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery, 2024. 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. Frontiers in bioengineering and biotechnology · 2026
    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

5 authors.

Guangzhao TianInstitute of Orthopedics, First Medical Center, General Hospital of Chinese PLA, Beijing, 100853, P. R. China.
Runmeng LiInstitute of Orthopedics, First Medical Center, General Hospital of Chinese PLA, Beijing, 100853, P. R. China.
Yongkang YangInstitute of Orthopedics, First Medical Center, General Hospital of Chinese PLA, Beijing, 100853, P. R. China.
Chao NingInstitute of Orthopedics, First Medical Center, General Hospital of Chinese PLA, Beijing, 100853, P. R. China.
Quanyi GuoInstitute of Orthopedics, First Medical Center, General Hospital of Chinese PLA, Beijing, 100853, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To summarize the classic and latest treatment techniques for localized knee cartilage lesions in clinical practice and create a new comprehensive clinical decision-making process. Methods: The advantages and limitations of various treatment methods for localized knee cartilage lesions were summarized by extensive review of relevant literature at home and abroad in recent years. Results: Currently, there are various surgical methods for treating localized knee cartilage injuries in clinical practice, each with its own pros and cons. For patients with cartilage injuries less than 2 cm Conclusion: There are many treatment techniques available for localized knee cartilage lesions. Treatment strategy selection should be based on the size and location of the lesion, the extent of involvement of the subchondral bone, and the level of evidence supporting each technique in the literature.

Indexed as

Cartilage, ArticularChondrocytesKnee InjuriesKnee JointTransplantation, AutologousAllograftsBone TransplantationHumansPlastic Surgery ProceduresTissue EngineeringTransplantation, HomologousCartilage lesioncartilage repairclinical decision-making

Identifiers

PMID39013829
PMCPMC11252692

What OpenQuestion holds

Textmetadata
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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.