Evidence map›Paper›PMID 40323118›Full record

ArticleInternational journal of cancer2025

p16

Rikke Damgaard, David Jenkins, Mark H Stoler, Miekel van de Sandt, Maurits N C de Koning, Wim G V Quint, Johnny Kahlert, Patti E Gravitt, Torben Steiniche, Lone K Petersen and 1 more

Abstract read
In one paragraph

Article in International journal of cancer, 2025. 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. p16International journal of cancer · 2025
    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

11 authors.

Rikke DamgaardDepartment of Obstetrics and Gynecology, NIDO - Centre for Research and Education, Gødstrup Hospital, Herning, Denmark.
David JenkinsCerba Research, The Netherlands.
Mark H StolerDepartment of Pathology, University of Virginia Health, Charlottesville, VA, USA.
Miekel van de SandtCerba Research, The Netherlands.
Maurits N C de KoningCerba Research, The Netherlands.
Wim G V Quint *Cerba Research, The Netherlands.
Johnny KahlertDepartment of Obstetrics and Gynecology, NIDO - Centre for Research and Education, Gødstrup Hospital, Herning, Denmark.
Patti E GravittDivision of Global Health, National Cancer Institute, Maryland, USA.
Torben SteinicheDepartment of Obstetrics and Gynecology, NIDO - Centre for Research and Education, Gødstrup Hospital, Herning, Denmark.
Lone K PetersenDepartment of Obstetrics and Gynecology, Odense University Hospital, Odense, Denmark.
Anne HammerDepartment of Obstetrics and Gynecology, NIDO - Centre for Research and Education, Gødstrup Hospital, Herning, Denmark.ORCID 0000-0002-4616-9827

Funding

Association of Danish Laboratory ScientistsDanish Cancer Society Research Center R248-A14476HarboefondenHealth Research Fund of Central Denmark Region
6 · The paper itself

Abstract

Cervical intraepithelial neoplasia grade 2 (CIN2) is a heterogeneous diagnosis with a high likelihood of spontaneous regression. Therefore, active surveillance for CIN2 has been implemented as an option in younger women in many countries. Yet, little is known about markers that may accurately predict the likelihood of regression to support active surveillance. Here, we aimed to assess whether p16

Indexed as

Cyclin-Dependent Kinase Inhibitor p16Papillomavirus InfectionsUterine Cervical DysplasiaUterine Cervical NeoplasmsAdultCohort StudiesDenmarkFemaleHumansImmunohistochemistryNeoplasm GradingPapillomaviridaeYoung AdultCyclin-Dependent Kinase Inhibitor p16cervical intraepithelial neoplasiadiagnosticsHPV E4molecular biomarkersp16INK4a

Identifiers

PMID40323118
PMCPMC12334904

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.