Evidence map›Paper›PMID 36517077›Full record

ArticleBMJ case reports2022

Ovarian torsion: incremental role of contrast-enhanced ultrasound.

Shivani Gupta, Smita Manchanda, Vatsla Dadhwal

Open access · greenAbstract readCase Reports
In one paragraph

Article in BMJ case reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 22% 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, 7 citations in OpenAlex.

  1. Article
  2. Improving diagnostic accuracy of ovarian torsion using contrast-enhanced ultrasound: A prospective comparative clinical study of performance diagnosis.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
    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

3 authors at 1 institution in 1 country.

Shivani GuptaDepartment of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi, Delhi, India.
Smita ManchandaDepartment of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi, Delhi, India smitamanchanda@gmail.com.ORCID http://orcid.org/0000-0002-6752-8323
Vatsla DadhwalDepartment of Obstetrics and Gynaecology, All India Institute of Medical Sciences, New Delhi, Delhi, India.
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We highlight the role of contrast-enhanced ultrasound (CEUS) as a supplementary modality to ultrasound (USG) examination in ovarian torsion in this case report. The reported patient had clinical history suspicious of ovarian torsion; however, USG and Doppler flow study findings were equivocal. CEUS was performed to solve the diagnostic dilemma and to know the status of ovarian parenchymal viability which revealed non-enhancement of the ovarian cyst wall and pedicle throughout the USG examination thus establishing the diagnosis of non-viable or infarcted ovarian parenchyma. The per operative and histopathology findings were consistent with our CEUS findings. CEUS is an emerging promising modality which provides information regarding parenchymal perfusion, resulting in a reliable diagnosis of ovarian torsion along with information on ovarian parenchymal viability. This ability makes CEUS equivalent to contrast-enhanced CT or MRI.

Indexed as

Contrast MediaOvarian TorsionFemaleHumansMagnetic Resonance ImagingUltrasonographyUltrasonography, DopplerContrast MediaObstetrics and gynaecologyRadiologyUltrasonography

Identifiers

PMID36517077
PMCPMC9756187
OpenAlexW4311474866

What OpenQuestion holds

Textmetadata
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.