Evidence map›Paper›PMID 37869356›Full record

ArticleQuantitative imaging in medicine and surgery2023

Quality assessment of transperineal ultrasound in Chinese tertiary medical centers: a multicenter study.

Man Zhang, Jiawei Wu, Xin Lin, Liang Mu, Guifeng Ma, Zhikun Zhang, Jing Shi, Shaozheng He, Yanan Ma, Ning Shang and 6 more

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

16 authors at 10 institutions in 1 country.

Man Zhang *Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Jiawei Wu *Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xin Lin *Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Liang MuDepartment of Ultrasound, Shaanxi Provincial People's Hospital, Xi'an, China.
Guifeng MaDepartment of Ultrasound, Affiliated Hospital of Weifang Medical University, Weifang, China.
Zhikun ZhangDepartment of Ultrasound, Tianjin Central Hospital of Gynecology Obstetrics, Tianjin, China.
Jing ShiDepartment of Ultrasound, Guiyang Maternal and Child Health Care Hospital, Guiyang, China.
Shaozheng HeDepartment of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Yanan MaDepartment of Ultrasound, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Ning ShangDepartment of Ultrasound, Guangdong Women and Children Hospital, Guangzhou, China.
Hongyan WangDepartment of Ultrasound, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
Suzhen RanDepartment of Ultrasound, Women and Children's Hospital of Chongqing Medical University, Chongqing Health Center for Women and Children, Chongqing, China.
Xudong WangDepartment of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Jiawei TianDepartment of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Enze Qu *Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Xinling Zhang *Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Sun Yat-sen University · CNThird Affiliated Hospital of Sun Yat-sen University · CNHarbin Medical University · CNFujian Medical University · CNGuangdong Province Women and Children Hospital · CNPeking Union Medical College Hospital · CNPeople's Hospital of Xinjiang Uygur Autonomous Region · CNShanxi Medical University · CNTianjin Central Hospital of Gynecology Obstetrics · CNWeifang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Transperineal ultrasound (TPUS) is a vital examination method for diagnosing pelvic floor diseases. However, the quality of TPUS largely relies on the operator's experience, and there is a lack of studies on the evaluation of TPUS quality. Therefore, the objective of this study was to assess the quality of TPUS examinations in Chinese tertiary medical centers. Methods: This multicenter study conducted in 44 Chinese tertiary medical centers recruited postpartum women between September 2020 and September 2021. All participants underwent a standardized inquiry and TPUS examination. The participating centers were required to submit 5 parts of ultrasound data to the National Ultrasound Quality Control Center: 2-dimensional images at rest, 2-dimensional images at strain; 4-dimensional images of the levator ani hiatus; 4-dimensional images of the levator ani muscle; and 4-dimensional images of the anal sphincter. Quality assessment was performed by 2 experts with more than 5 years of experience in TPUS, and the reasons for nonqualification were stated. Results: In this study, 31 hospitals that were distributed across 20 provinces in China were included, submitting 2,251 cases in total. The overall qualified rate ranged from 12.00% to 86.92%. In each part, the qualified rate of 2-dimensional images at rest, 2-dimensional images at straining, levator ani hiatus, levator ani muscle, and anal sphincter was 94.27% (2,122/2,251), 78.54% (1,768/2,251), 85.52% (1,925/2,251), 93.03% (2,094/2,251), and 88.09% (1,983/2,251), respectively. Most of the nonqualified images belonged to 2-dimensional images at strain, and the errors in image acquisition (221/483, 45.76%) and measurement (262/483, 54.24%) were the main reasons for nonqualification. For levator ani hiatus images, error in image acquisition (275/326, 84.36%) was the main reason for nonqualification. Reconstruction error was the most common reason for nonqualification for levator ani muscle (133/157, 84.71%) and anal sphincter images (133/268, 49.63%). Conclusions: This multicenter study assessed the quality of TPUS in tertiary medical centers in China and identified the common reasons for nonqualification in each part. These findings can aid in forming the basis for quality control management and training for TPUS.

Indexed as

Quality assessmenttertiary medical centerstransperineal ultrasound (TPUS)

Identifiers

PMID37869356
PMCPMC10585525
OpenAlexW4387023112

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.