Evidence map›Paper›PMID 40874240›Full record

ArticleFrontiers in surgery2025

Clinical study on localization of calcific tendinitis of the supraspinatus tendon based on three-dimensional reconstruction technology of CT scan.

Shicheng Jia, Xiaolei Liu, Menghao Li, Xin Mu, Jianjing Lin, Jiayou Chen, Shengbo Lu, Wei Li

Abstract read
In one paragraph

Article in Frontiers in surgery, 2025. 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. Review
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

8 authors.

Shicheng Jia *Department of Sports Medicine, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.
Xiaolei Liu *Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, Shenzhen, China.
Menghao LiDepartment of Sports Medicine, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.
Xin MuDepartment of Sports Medicine, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.
Jianjing LinDepartment of Sports Medicine, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.
Jiayou ChenDepartment of Sports Medicine, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.
Shengbo LuDepartment of Sports Medicine, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.
Wei LiDepartment of Sports Medicine, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Arthroscopic resection of calcific lesions is an effective treatment for calcific tendonitis. However, accurately locating the calcific foci can be challenging. In this study, we propose the use of preoperative 3D-CT scan technology combined with intraoperative patient position and markings to precisely locate intraoperative lesions. The aim is to reduce exploration time and operative time. Methods: We retrospectively analyzed 51 cases of calcific tendonitis from inpatients at our department from June 2016 to January 2024. The patients were divided into a localization group ( Results: The localization group had significantly shorter intraoperative exploration time and operation time compared to the non-localization group ( Conclusion: The improved preoperative 3D-CT scan and intraoperative patient markings technique is a simple and effective method for localizing calcific tendonitis lesions before arthroscopic exploration. This technique can reduce exploration time and shorten operative time. Level of evidence: Level III; Cohort Study; Retrospective Study.

Indexed as

3D-CT scanarthroscopycalcific tendonitispreoperative localizationshoulderssurgery

Identifiers

PMID40874240
PMCPMC12378510

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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.