Evidence map›Paper›PMID 31489290›Full record

ArticleSouth Asian journal of cancer

Clinicopathological profile of adnexal masses presenting to a tertiary-care hospital in Bhutan.

Rojna Rai, Pema Choden Bhutia, Ugyen Tshomo

Open access · diamondAbstract read
In one paragraph

Article in South Asian journal of cancer. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 21 citations in OpenAlex.

  1. Observational
  2. 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.

Rojna RaiDepartment of Obstetrics and Gynecology, Faculty of Postgraduate Medicine, Jigme Dorji Wangchuck National Referral Hospital, Khesar Gyalpo University of Medical Sciences of Bhutan, Thimphu, Bhutan.
Pema Choden BhutiaDepartment of Obstetrics and Gynecology, Jigme Dorji Wangchuck National Referral Hospital, Thimphu, Bhutan.
Ugyen TshomoDepartment of Obstetrics and Gynecology, Jigme Dorji Wangchuck National Referral Hospital, Thimphu, Bhutan.
Royal University of Bhutan · BT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextAdnexal masses of ovarian origin are of growing concern due to high fatality associated with ovarian malignancy because they are diagnosed at advanced stage due to vague symptoms and absence of recommended screening tests.

aimsThe aim was to study the prevalence of histopathologic types of adnexal masses in different age groups and to analyze the accuracy of preoperative evaluation in diagnosing ovarian malignancy. SETTINGS AND

designThis was a cross-sectional study carried out in the Department of Obstetrics and Gynecology of a tertiary care hospital in Bhutan with gynecologic-oncology services, from January to December 2017. SUBJECTS AND

methodsWomen presenting with adnexal mass were evaluated and those meeting criteria were enrolled. They were evaluated preoperatively with complete history, examination, ultrasound, and tumor markers. Risk of malignancy index (RMI) was calculated for all patients. Following surgery, histopathology results were compared with preoperative evaluation. STATISTICAL ANALYSIS USED: Chi-square test,

resultsOf 165 patients evaluated, 127 fulfilling criteria were enrolled. Adnexal masses of ovarian origin were most common (

conclusionsAdnexal mass of ovarian origin was the most common. Malignancy was significantly more in older, postmenopausal women with high RMI. RMI showed moderate correlation in diagnosing epithelial ovarian malignancies.

Indexed as

Adnexal massovarian cancerrisk of malignancy index

Identifiers

PMID31489290
PMCPMC6699236
OpenAlexW2965208607

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.