Evidence map›Paper›PMID 40166621›Full record

ArticleFrontiers in surgery2025

Exploring the early diagnostic value of MRI for type I stress fractures: a retrospective analysis based on imaging manifestations.

Hui Lu, Cailin Wang, Leilei Wang, Xuefeng Gao, Ruquan Li, Xiaofeng Jin, Jun Tang, Sen Guan

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.

Hui Lu *Department of Pain, Suzhou Hospital of Integrated Traditional Chinese and Western Medicine, Suzhou, China.
Cailin Wang *Medical Research Center, The People's Hospital of Suzhou New District, Suzhou, China.
Leilei WangDepartment of Radiology, Yinshanhu Hospital, Suzhou, China.
Xuefeng GaoDepartment of Radiology, Yinshanhu Hospital, Suzhou, China.
Ruquan LiDepartment of Radiology, The 904th Hospital of the People's Liberation Army (PLA) Joint Logistics Support Force, Suzhou, China.
Xiaofeng JinDepartment of Radiology, The 904th Hospital of the People's Liberation Army (PLA) Joint Logistics Support Force, Suzhou, China.
Jun TangDepartment of Radiology, The 904th Hospital of the People's Liberation Army (PLA) Joint Logistics Support Force, Suzhou, China.
Sen GuanDepartment of Radiology, The 904th Hospital of the People's Liberation Army (PLA) Joint Logistics Support Force, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To compare the positive rate of early diagnosis and the detection rate of fracture signs in Type I stress fractures using x-ray, CT, and MRI. Methods: A total of 56 patients with Type I stress fractures admitted to the 904st Hospital of the PLA Joint Logistics Support Force from January 2011 to June 2021 were included in the retrospective analysis, including 35 cases of tibial stress fractures (tibia group) and 21 cases of femoral stress fractures (femur group). The positive rate of early diagnosis and the detection rates of visible fracture lines, periosteal reaction, callus formation, surrounding soft tissue swelling, and marrow cavity signal changes were compared between x-ray, CT, and MRI. Results: Conclusion: Based on the definitely diagnostic advantages of MRI for signs such as visible fracture line, surrounding soft tissue swelling, and marrow cavity signal changes, it shows higher accuracy and application value in the early diagnosis of type Ⅰ stress fractures.

Indexed as

early diagnosisimaging manifestationsmagnetic resonance imagingmilitary trainingstress fractures

Identifiers

PMID40166621
PMCPMC11955639

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.