Evidence map›Paper›PMID 38629613›Full record

SynthesisInternational wound journal2024

Meta-analysis comparing different ultrasound detection methods to accurately assess wound healing and scar formation after caesarean section.

Jing-Jing Miao, Ying-Ying Luo, Chen-Yu Wang, Hui-Xia Li, Hong-Xia Yu

RetractedOpen access · goldAbstract readMeta-AnalysisRetracted Publication
In one paragraph

Synthesis in International wound journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 35% of its field
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 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Jing-Jing MiaoDepartment of Ultrasound, Henan Chest Hospital, Zhengzhou, China.
Ying-Ying LuoDepartment of Ultrasound, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Chen-Yu WangDepartment of Ultrasound, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Hui-Xia LiDepartment of Ultrasound, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Hong-Xia YuDepartment of Ultrasound, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Second Affiliated Hospital of Zhengzhou University · CNHenan Provincial Chest Hospital · CN

Funding

Henan Provincial Medical Science and Technology Research Plan LHGJ20210361
6 · The paper itself

Abstract

The accurate assessment of wound healing post-caesarean section, especially in twin pregnancies, remains a pivotal concern in obstetrics, given its implications for maternal health and recovery. Traditional methods, including conventional abdominal ultrasonography (CU), have been challenged by the advent of transvaginal ultrasonography (TU), offering potentially enhanced sensitivity and specificity. This meta-analysis directly compares the efficacy of TU and CU in evaluating wound healing and scar formation, crucial for optimizing postoperative care. Results indicate that TU is associated with significantly better outcomes in wound healing, demonstrated by lower REEDA scores (SMD = -20.56, 95% CI: [-27.34.20, -13.77], p < 0.01), and in scar formation reduction, evidenced by lower Manchester Scar Scale scores (SMD = -25.18, 95% CI: [-29.98, -20.39], p < 0.01). These findings underscore the potential of integrating TU into routine post-caesarean evaluation protocols to enhance care quality and patient recovery.

Indexed as

Cesarean SectionCicatrixFemaleHumansPregnancySensitivity and SpecificityUltrasonographyWound Healingcaesarean sectionconventional abdominal ultrasonographytransvaginal ultrasonographytwin pregnancieswound healing

Identifiers

PMID38629613
PMCPMC11022302
OpenAlexW4394870084

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.