Evidence map›Paper›PMID 36177908›Full record

ArticleActa obstetricia et gynecologica Scandinavica2022

Adjunctive use of p16 immunohistochemistry for optimizing management of CIN lesions in a high-risk human papillomavirus-positive population.

Renée M F Ebisch, L Lucia Rijstenberg, Gilda Ghazi Soltani, Judith van der Horst, Judith E M Vedder, Meyke Hermsen, Remko P Bosgraaf, Leon F A G Massuger, Chris J L M Meijer, Daniëlle A M Heideman and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Acta obstetricia et gynecologica Scandinavica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
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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

15 authors at 4 institutions in 1 country.

Renée M F EbischDepartment of Obstetrics and Gynecology, Radboud University Medical Center, Nijmegen, The Netherlands.ORCID 0000-0002-3422-5086
L Lucia RijstenbergDepartment of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
Gilda Ghazi SoltaniDepartment of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
Judith van der HorstDepartment of Pathology, Deventer Hospital, Deventer, The Netherlands.
Judith E M VedderDepartment of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
Meyke HermsenDepartment of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
Remko P BosgraafDepartment of Obstetrics and Gynecology, Catharina Hospital Eindhoven, Eindhoven, The Netherlands.
Leon F A G MassugerDepartment of Obstetrics and Gynecology, Radboud University Medical Center, Nijmegen, The Netherlands.
Chris J L M MeijerAmsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Cancer Center Amsterdam, Amsterdam, The Netherlands.
Daniëlle A M HeidemanAmsterdam UMC, Vrije Universiteit Amsterdam, Pathology, Cancer Center Amsterdam, Amsterdam, The Netherlands.
Folkert J van KemenadeDepartment of Pathology, Erasmus University Medical Center, Rotterdam, The Netherlands.
Willem J G MelchersDepartment of Medical Microbiology, Radboud University Medical Center, Nijmegen, The Netherlands.
Ruud L M BekkersDepartment of Obstetrics and Gynecology, Catharina Hospital Eindhoven, Eindhoven, The Netherlands.
Albert G SiebersDepartment of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
Johan BultenDepartment of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.
Radboud University Nijmegen · NLAmsterdam University Medical Centers · NLDeventer Ziekenhuis · NLErasmus MC · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionImmunostaining with p16 MATERIAL AND

methodsIn this post-hoc analysis, 326 histology follow-up samples from a group of hrHPV-positive women were stained with p16 immunohistochemistry. All H&E samples were centrally revised. The pathologists reported their level of confidence in classifying the CIN lesion.

resultsCombining H&E and p16 staining resulted in a change of diagnosis in 27.3% (n = 89) of cases compared with the revised H&E samples, with a decrease of 34.5% (n = 18) in CIN1 and 22.7% (n = 15) in CIN2 classifications, and an increase of 18.3% (n = 19) in no CIN and 20.7% (n = 19) in CIN3 diagnoses. The level of confidence in CIN grading by the pathologist increased with adjunctive use of p16 immunohistochemistry to standard H&E.

conclusionsThis study shows that adjunctive use of p16 immunohistochemistry to H&E morphology reduces the number of CIN1 and CIN2 classifications with a proportional increase in no CIN and CIN3 diagnoses, compared with standard H&E-based CIN diagnosis alone. The pathologists felt more confident in classifying the material with H&E and p16 immunohistochemistry than by using H&E alone, particularly during assessment of small biopsies. Adjunctive use of p16 immunohistochemistry to standard H&E assessment of CIN would be valuable for the diagnostic accuracy, thereby optimizing CIN management and possibly decreasing overtreatment.

Indexed as

AlphapapillomavirusPapillomavirus InfectionsUterine Cervical DysplasiaUterine Cervical NeoplasmsBiomarkers, TumorCyclin-Dependent Kinase Inhibitor p16Eosine Yellowish-(YS)FemaleHematoxylinHumansImmunohistochemistryPapillomaviridaeBiomarkers, TumorCyclin-Dependent Kinase Inhibitor p16Eosine Yellowish-(YS)Hematoxylincervical cancercervical intraepithelial neoplasiahuman papillomavirusimmunohistochemistryp16

Identifiers

PMID36177908
PMCPMC9812205
OpenAlexW4298088881

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.