Evidence map›Paper›PMID 33222157›Full record

ArticleInternational journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics2021

Evaluation of preoperative prediction of intestinal invasion in patients with ovarian cancer.

Takashi Takeda, Shigenori Hayashi, Yusuke Kobayashi, Kosuke Tsuji, Shimpei Nagai, Eiichiro Tominaga, Tatsuya Suzuki, Shigeo Okuda, Kouji Banno, Daisuke Aoki

Open access · hybridAbstract read
In one paragraph

Article in International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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 at 1 institution in 1 country.

Takashi Takeda *Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0001-6686-5742
Shigenori Hayashi *Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan.
Yusuke KobayashiDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-4503-2845
Kosuke TsujiDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0003-4851-3721
Shimpei NagaiDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan.
Eiichiro TominagaDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0001-9243-0267
Tatsuya SuzukiDepartment of Radiology, Keio University School of Medicine, Tokyo, Japan.
Shigeo OkudaDepartment of Radiology, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-7874-9527
Kouji BannoDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0003-2610-2833
Daisuke AokiDepartment of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-9596-8326
Keio University · JP

Funding

JSPS KAKENHI Grant-in-Aid for Young Scientists JP18K16812
6 · The paper itself

Abstract

objectiveTo optimize prediction for intestinal invasion of epithelial ovarian cancer. It is important to achieve debulking surgery to improve prognosis in ovarian cancer; intestinal resection is adopted if the cancer is invaded and resectable, but the preoperative evaluation method of intestinal invasion is still controversial.

methodsPatients (n = 174) who underwent primary debulking surgery for epithelial ovarian cancer were recruited for retrospective study; 28 and 146 patients were classified into the invasion and non-invasion groups, whether they needed intestinal resection or not. We collected clinical data including evaluation of computed tomography (CT), magnetic resonance imaging (MRI), and barium contrast radiography, and analyzed their accuracy.

resultsThe sensitivity and specificity for intestinal invasion were 33.3% and 98.6%, 42.9% and 98.6%, and 66.7% and 93.9% in CT, MRI, and barium contrast radiography, respectively. CT and MRI combined showed a sensitivity of 58.3% and specificity of 96.9%; all three methods combined was the most sensitive combination, showing a sensitivity of 79.2% and specificity of 90.8%.

conclusionCombination of CT, MRI, and barium contrast radiography predicts intestinal invasion with the highest sensitivity. These three modalities, however, could not predict all intestinal invasion. Patients should be informed of the possibility of unexpected extensive resection.

Indexed as

Barium SulfateCarcinoma, EndometrioidCarcinoma, Ovarian EpithelialContrast MediaFemaleHumansIntestinesMagnetic Resonance ImagingMiddle AgedNeoplasm InvasivenessOvarian NeoplasmsPreoperative CareRadiographyRetrospective StudiesSensitivity and SpecificityTomography, X-Ray ComputedBarium SulfateContrast MediaBarium contrast radiographyComputed tomographyDiagnostic imagingIntestinal invasionMagnetic resonance imagingOvarian cancerPreoperative

Identifiers

PMID33222157
PMCPMC8246869
OpenAlexW3110587728

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.