Evidence map›Paper›PMID 31328460›Full record

ArticleJournal of gynecologic oncology2019

The efficacy of modified Swede Colposcopic Index in prediction of high-grade lesion and cancer of cervix.

Nopporn Rodpenpear, Kamol Pataradool

Abstract readEvaluation Study
In one paragraph

Article in Journal of gynecologic oncology, 2019. 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
–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

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

2 authors.

Nopporn RodpenpearDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-8642-209X
Kamol PataradoolDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Faculty of Medicine Vajira Hospital, Navamindradhiraj University, Bangkok, Thailand. kamol@nmu.ac.th.ORCID https://orcid.org/0000-0002-9007-2889

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the efficacy of modified Swede Colposcopic Index (MSCI) to predict high-grade lesion and cancer of cervix (CIN2+, cervical intraepithelial neoplasia grade 2 or worse) in women with abnormal cervical cytology who underwent a colposcopy.

methodsWe conducted a retrospective study and MSCI using 5 features of cervical lesions evidenced from colposcopy: acetouptake, margin and surface, vessels, lesion size, and location of lesion. Each feature was scored from cervicograhpic findings which transformation zone was completely seen. Odds ratio of each feature was obtained by logistic regression analysis. Receiver operating characteristic curve was used to assess the efficacy of summation score to predict CIN2+. An appropriate cut-off point score was assigned.

resultsTwo hundred and twenty women were included in the study. The assigned score for each factor in level 1 to 3 was 1, 2 and 3 points with a total score of 15 points. The most appropriate cut-off points score for MSCI to predict CIN2+ was 11 points. The sensitivity, specificity, positive predictive value, negative predictive value and accuracy using MSCI were 82.2%, 96.2%, 96.0%, 85.0%, and 90.0% respectively.

conclusionMSCI showed a high efficacy for predicting CIN2+ in satisfactory colposcopy.

Indexed as

AdolescentAdultAgedColposcopyEarly Detection of CancerFemaleHumansMiddle AgedReproducibility of ResultsRetrospective StudiesROC CurveSensitivity and SpecificitySeverity of Illness IndexUterine Cervical DysplasiaUterine Cervical NeoplasmsYoung AdultCervical CancerColposcopyHigh-Grade Squamous Intraepithelial Lesions

Identifiers

PMID31328460
PMCPMC6658606

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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.