Evidence map›Paper›PMID 38045126›Full record

ReviewHeliyon2023

Liability, risks, and recommendations for ultrasound use in the diagnosis of obstetrics diseases.

Haiting Sun, An Wu, Minli Lu, Shan Cao

RetractedAbstract readReviewRetracted Publication
In one paragraph

Review in Heliyon, 2023. 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 It has been retracted, and should not be counted.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.

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. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Haiting SunDepartment of Ultrasound, The Affiliated Xiangshan Hospital of Wenzhou Medical University, Ningbo, 315700, Zhejiang Province, PR China.
An WuDepartment of Ultrasound, The Affiliated Xiangshan Hospital of Wenzhou Medical University, Ningbo, 315700, Zhejiang Province, PR China.
Minli LuDepartment of Ultrasound, The Affiliated Xiangshan Hospital of Wenzhou Medical University, Ningbo, 315700, Zhejiang Province, PR China.
Shan CaoDepartment of Obstetrics, The Affiliated Second People's Hospital of Yuhang District, Hangzhou City, Hangzhou, 311100, Zhejiang Province, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This literature review will summarize the liability issues, risks, and ultrasound recommendations for diagnosing obstetrics diseases. One liability issue is related to misdiagnosis or failure to detect abnormalities during an ultrasound examination. Ultrasound images can be subjective interpretations, and errors may occur due to factors such as operator skill, equipment limitations, or fetal positioning. Another liability concern is related to the potential adverse effects of ultrasound exposure on both the mother and fetus. While extensive research has shown that diagnostic ultrasound is generally safe when used appropriately, there are still uncertainties regarding long-term effects. Some studies suggest a possible association between prolonged or excessive exposure to ultrasound waves and adverse outcomes such as low birth weight, developmental delays, or hearing impairment. Additionally, obtaining informed consent from patients is crucial in mitigating liability risks. Patients should be informed about the purpose of the ultrasound examination, its benefits, limitations, potential risks (even if minimal), and any alternative diagnostic options available. This ensures that patients know the procedure and can make informed decisions about their healthcare. Proper documentation helps establish a clear record of the care provided and can serve as evidence in any legal disputes.

Indexed as

LiabilityMisdiagnosisObstetricsPregnancyUltrasonography

Identifiers

PMID38045126
PMCPMC10692788

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.