Evidence map›Paper›PMID 1315807›Full record

ArticleJournal of clinical pathology1992

Detection of human papillomavirus in matched cervical smears and biopsy specimens by non-isotopic in situ hybridisation.

G Troncone, C S Herrington, K Cooper, M L de Angelis, J O McGee

Open access · bronzeAbstract readCase Reports
In one paragraph

Article in Journal of clinical pathology, 1992. 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
1.3field-weighted citation impact, top 22% 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, 10 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

5 authors at 1 institution in 1 country.

G TronconeUniversity of Oxford, Nuffield Department of Pathology and Bacteriology, John Radcliffe Hospital.
C S Herrington
K Cooper
M L de Angelis
J O McGee
John Radcliffe Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo determine the relative diagnostic sensitivity of non-isotopic in situ hybridisation (NISH) for the diagnosis of human papillomavirus (HPV) on matched smears and biopsy specimens; to compare the NISH signal type in the two samples; and to correlate the NISH data with the morphological diagnosis.

methodsHPV samples were assayed individually by NISH with digoxigenin labelled probes (HPV6, 11, 16, 18, and 33) on routinely collected paraffin wax embedded cervical biopsy specimens and for high risk HPVs with a cocktail of similarly labelled probes (HPV16, 18, 33) on matched smears. These were taken at the same colposcopic examination from 32 patients investigated for an abnormal cervical Papanicolaou (PAP) stained smear.

resultsAn HPV signal was present in 18 (56%) biopsy specimens and in 14 (44%) smears. There was higher concordance of sets of data in the presence of cytopathic wart virus changes. The superiority of biopsy over smear in detecting HPV was mainly the result of examining the entire cervical biopsy specimen rather than cells scraped from the cervical surface. The NISH signal type in both biopsy specimen and smear was similar; it has been shown that NISH type 1 signal correlates with episomal viral replication and type 2 and 3 signals with viral integration.

conclusionsThese data show that NISH on cervical smears is a worthwhile primary screen for HPV infection. The NISH signal types in cervical smears are similar to those previously described in cervical biopsy specimens.

Indexed as

BiopsyCervix UteriFemaleHumansNucleic Acid HybridizationPapanicolaou TestPapillomaviridaeSensitivity and SpecificitySpecimen HandlingTumor Virus InfectionsUterine Cervical NeoplasmsVaginal Smears

Identifiers

PMID1315807
PMCPMC495270
OpenAlexW1986343458

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.