Evidence map›Paper›PMID 33778746›Full record

ArticleRadiology. Imaging cancer2020

Radiologic-Histopathologic Correlation of Transvaginal US and Risk-reducing Salpingo-oophorectomy for Women at High Risk for Tubo-ovarian Carcinoma.

Michelle D Sakala, Nicole E Curci, William R Masch, Mishal Mendiratta-Lala, Erica B Stein, Ashish P Wasnik, Andrew P Sciallis, Shitanshu Uppal, Mark D Pearlman, Katherine E Maturen

Abstract read
In one paragraph

Article in Radiology. Imaging cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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

10 authors.

Michelle D SakalaDepartments of Radiology (M.D.S., N.E.C., W.R.M., M.M.L., E.B.S., A.P.W., K.E.M.), Pathology (A.P.S.), and Obstetrics/Gynecology (S.U., M.D.P., K.E.M.), Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI 48109-5326.ORCID 0000-0003-2558-8675
Nicole E CurciDepartments of Radiology (M.D.S., N.E.C., W.R.M., M.M.L., E.B.S., A.P.W., K.E.M.), Pathology (A.P.S.), and Obstetrics/Gynecology (S.U., M.D.P., K.E.M.), Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI 48109-5326.ORCID 0000-0002-6968-0142
William R MaschDepartments of Radiology (M.D.S., N.E.C., W.R.M., M.M.L., E.B.S., A.P.W., K.E.M.), Pathology (A.P.S.), and Obstetrics/Gynecology (S.U., M.D.P., K.E.M.), Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI 48109-5326.
Mishal Mendiratta-LalaDepartments of Radiology (M.D.S., N.E.C., W.R.M., M.M.L., E.B.S., A.P.W., K.E.M.), Pathology (A.P.S.), and Obstetrics/Gynecology (S.U., M.D.P., K.E.M.), Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI 48109-5326.ORCID 0000-0003-4055-916X
Erica B SteinDepartments of Radiology (M.D.S., N.E.C., W.R.M., M.M.L., E.B.S., A.P.W., K.E.M.), Pathology (A.P.S.), and Obstetrics/Gynecology (S.U., M.D.P., K.E.M.), Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI 48109-5326.
Ashish P WasnikDepartments of Radiology (M.D.S., N.E.C., W.R.M., M.M.L., E.B.S., A.P.W., K.E.M.), Pathology (A.P.S.), and Obstetrics/Gynecology (S.U., M.D.P., K.E.M.), Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI 48109-5326.
Andrew P SciallisDepartments of Radiology (M.D.S., N.E.C., W.R.M., M.M.L., E.B.S., A.P.W., K.E.M.), Pathology (A.P.S.), and Obstetrics/Gynecology (S.U., M.D.P., K.E.M.), Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI 48109-5326.
Shitanshu UppalDepartments of Radiology (M.D.S., N.E.C., W.R.M., M.M.L., E.B.S., A.P.W., K.E.M.), Pathology (A.P.S.), and Obstetrics/Gynecology (S.U., M.D.P., K.E.M.), Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI 48109-5326.
Mark D PearlmanDepartments of Radiology (M.D.S., N.E.C., W.R.M., M.M.L., E.B.S., A.P.W., K.E.M.), Pathology (A.P.S.), and Obstetrics/Gynecology (S.U., M.D.P., K.E.M.), Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI 48109-5326.
Katherine E MaturenDepartments of Radiology (M.D.S., N.E.C., W.R.M., M.M.L., E.B.S., A.P.W., K.E.M.), Pathology (A.P.S.), and Obstetrics/Gynecology (S.U., M.D.P., K.E.M.), Michigan Medicine, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI 48109-5326.ORCID 0000-0002-7357-4529

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To examine radiologic-histopathologic correlation and the diagnostic performance of transvaginal US prior to risk-reducing salpingo-oophorectomy (RRSO) in women at high risk for tubo-ovarian carcinoma (TOC). Materials and Methods: This retrospective study included 147 women (mean age, 49 years; age range, 28-75 years) at high risk for TOC who underwent transvaginal US within 6 months of planned RRSO between May 1, 2007, and March 14, 2018. Histopathologic results were reviewed. Fellowship-trained abdominal radiologists reinterpreted transvaginal US findings by using standardized descriptors. Descriptive statistical analysis and multiple logistic regression were performed. Results: Of the 147 women, 136 had mutations in Conclusion: Preoperative transvaginal US had low sensitivity for detecting TOC in women at high risk for TOC. Clinically relevant precursors and early cancers were too small to be detected.

Indexed as

Ovarian NeoplasmsSalpingo-oophorectomyUltrasonographyAdultAgedFemaleGenetic Predisposition to DiseaseHumansMiddle AgedRetrospective Studies

Identifiers

PMID33778746
PMCPMC7983748

What OpenQuestion holds

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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.