Evidence map›Paper›PMID 37324372›Full record

ArticleJournal of obstetrics and gynaecology of India2023

Comparison of HPV 16/18 Genotyping and p16/Ki67 Dual Staining for Detection of High-Grade Cervical Lesion in Patients with Low-Grade Cervical Smears.

Saloni Chadha, Gauri Gandhi, Suresh T Hedau, Ruchika Gupta

Open access · greenAbstract read
In one paragraph

Article in Journal of obstetrics and gynaecology of India, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Saloni ChadhaDepartment of Obstetrics and Gynecology, Maulana Azad Medical College and LNJP Hospital, New Delhi, 110002 India.ORCID 0000-0001-8222-9324
Gauri GandhiDepartment of Obstetrics and Gynecology, Maulana Azad Medical College and LNJP Hospital, New Delhi, 110002 India.
Suresh T HedauICMR-National Institute of Cancer Prevention and Research, Noida, India.
Ruchika GuptaICMR-National Institute of Cancer Prevention and Research, Noida, India.
Maulana Azad Medical College · INNational Institute of Cancer Prevention and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To triage low-grade cervical smears (ASCUS/LSIL) by HPV 16/18 genotyping and dual staining with p16/Ki67 and to compare the sensitivity and specificity of these two triage methods for detection of high-grade cervical intraepithelial neoplasia (HGCIN). Methods: In this prospective cross-sectional study, we evaluated a total of 89 women with low-grade smears (54 ASCUS, 35 LSIL) recruited from a tertiary care hospital. All patients underwent colposcopy guided cervical biopsy. Histopathology was used as gold standard. All samples were subjected to HPV 16/18 genotyping (excluding 9) using DNA PCR and p16/Ki67 dual staining (excluding 4) using Roche® kit. We then compared the two triage methods to detect high-grade cervical lesions. Results: Overall, in all low-grade smears sensitivity, specificity and accuracy of HPV 16/18 genotyping, was found to be 66.7%, 77.1% and 76.2% respectively ( Conclusions: Overall, in all low-grade smears the sensitivity of the two tests was comparable. However, dual staining had a higher specificity and accuracy than HPV 16/18 genotyping. It was concluded that both are effective triage methods but dual staining had a better performance than HPV 16/18 genotyping.

Indexed as

18 GenotypingASCUSCervical intraepithelial neoplasiaColposcopyDual stainingHPV16HPV testingLSILPap smear

Identifiers

PMID37324372
PMCPMC10267056
OpenAlexW4313813262

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.