Evidence map›Paper›PMID 40587769›Full record

SynthesisAnnals of medicine2025

Accuracy of multimodal vaginal ultrasound in the detection and assessment of scar healing after caesarean section: a correlational meta-analysis.

Li Qiao, Jingjing Lu, Bihong Zhang, Aiqun Liu, Xiaohua Wang, Mei Wang, Jian Li, Jiabao Meng

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Li QiaoDepartment of ultrasound, Zhongshan Boai Hospital, Zhongshan, China.
Jingjing LuDepartment maternity, Shenzhen Luohu District People's Hospital, Shenzhen, China.
Bihong ZhangDepartment of ultrasound, Zhongshan Boai Hospital, Zhongshan, China.
Aiqun LiuDepartment Organization and Personnel, Zhongshan Boai Hospital, Zhongshan, China.
Xiaohua WangDepartment of ultrasound, Zhongshan Boai Hospital, Zhongshan, China.
Mei WangDepartment of Science and Education, Zhongshan Boai Hospital, Zhongshan, China.
Jian LiDepartment of ultrasound, Zhongshan Boai Hospital, Zhongshan, China.
Jiabao MengDepartment of ultrasound, Zhongshan Boai Hospital, Zhongshan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the accuracy of multimodal vaginal ultrasound in assessing post-caesarean scar healing.

methodsA systematic review and meta-analysis were conducted on Chinese and English studies using multimodal vaginal ultrasound to diagnose poor scar healing post-CS. Two researchers screened literature based on inclusion/exclusion criteria. Quality assessment and meta-analysis (RevMan 5.4, Stata14.0, Meta-DiSc1.4) were performed for various diagnostic indicators.

resultsTwenty-five high-quality studies identified key ultrasound markers: hypoechoic/anechoic scars (sensitivity 92%, specificity 91%), thinning/discontinuity of the myotomy layer (sensitivity 95%, specificity 90%), blurred incision contour (sensitivity 99%, specificity 91%), absent blood flow (sensitivity 92%, specificity 91%), irregular lesion morphology (sensitivity 95%, specificity 90%), uneven myometrial echogenicity (sensitivity 94%, specificity 91%), lower uterine segment thickness ≤3.73 mm (sensitivity 90%, specificity 88%), and myometrial lining ≤1.5 mm (sensitivity 90%, specificity 92%).

conclusionMultimodal vaginal ultrasound is highly accurate in detecting poor CS scar healing, aiding early intervention to prevent complications.

Indexed as

Cesarean SectionCicatrixVaginaWound HealingFemaleHumansMyometriumPregnancySensitivity and SpecificityUltrasonographycaesarean sectiondiagnosisMETAMultimodal vaginal ultrasoundscar healing

Identifiers

PMID40587769
PMCPMC12210417

What OpenQuestion holds

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Registered trials

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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.