Evidence map›Paper›PMID 37302113›Full record

ArticleJournal of cancer research and clinical oncology2023

Evaluation of the clinical performance of p16/Ki-67 dual-staining cytology for cervical lesion detection in premenopausal and postmenopausal Chinese women.

Yu Dai, Tingting Chen, Xinyue Li, Changning Zhang, Tingyuan Li, Yuqian Zhao, Yakun Wang, Simiao Chen, Lulu Yu, Mingyue Jiang and 3 more

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 25% 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, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
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

13 authors at 5 institutions in 1 country.

Yu DaiDepartment of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Tingting ChenShenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Shenzhen, 518104, China.
Xinyue LiCollege of Life Sciences, Institute of Life Science and Green Development, Hebei University, Baoding, 071000, China.
Changning ZhangCollege of Life Sciences, Institute of Life Science and Green Development, Hebei University, Baoding, 071000, China.
Tingyuan LiSichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, 610041, China.
Yuqian ZhaoSichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, 610041, China.
Yakun WangDepartment of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Simiao ChenDepartment of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Lulu YuDepartment of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Mingyue JiangDepartment of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Zeni WuDepartment of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
Jinghong YangMianyang Maternity and Child Health Care Hospital, Mianyang, 621000, China. yangjinghong@mysfybjy.wecom.work.
Wen ChenDepartment of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. chenwen@cicams.ac.cn.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNHebei University · CNUniversity of Electronic Science and Technology of China · CNShenzhen Pingle Orthopedic Hospital · CNSichuan Mianyang 404 Hospital · CN

Funding

CAMS Innovation Fund for Medical Sciences(CIFMS) 2021-I2M-1-004National Natural Science Foundation of China 81973136Sichuan Provincial Science and Technology Program Applied Basic Research Program 2021YJ0227
6 · The paper itself

Abstract

backgroundStudies on the clinical performance of p16/Ki-67 dual-staining in detecting cervical lesions by menopausal status were limited.

methods4364 eligible women were enrolled with valid p16/Ki-67, HR-HPV, and LBC test results, including 542 cancer and 217 CIN2/3 cases. The positivity rates of p16 and Ki-67 single staining and p16/ Ki-67 dual-staining were analyzed by different pathological grades and age groups. The sensitivity (SEN), specificity (SPE), positive predictive value (PPV), and negative predictive value (NPV) of each test in different subgroups were calculated and compared.

resultsP16/Ki-67 dual-staining positivity increased with histopathological severity in premenopausal and postmenopausal women (P < 0.05), while no increasing trends of individual expression of p16 single staining and Ki-67 single staining were observed in postmenopausal women. P16/Ki-67 showed higher SPE (88.09% vs. 81.91%, P < 0.001) and PPV (33.8% vs. 13.18%, P < 0.001) in detecting CIN2/3, and higher SEN (89.97% vs. 82.61%, P = 0.012) and SPE (83.22% vs. 79.89%, P = 0.011) in detecting cancer in premenopausal women than postmenopausal women. For triaging the HR-HPV+ population to identify CIN2/3, p16/Ki-67 performed comparably to LBC in the premenopausal women, and showed higher PPV (51.14% vs. 23.08%, P < 0.001) in premenopausal than postmenopausal women. For triaging ASC-US/LSIL population, p16/Ki-67 demonstrated higher SPE and lower colposcopy referral rate than HR-HPV in both premenopausal and postmenopausal women.

conclusionsExpressions of p16/Ki-67 dual-staining between premenopausal and postmenopausal women are varied. P16/Ki-67 performs better in detecting cervical lesions in premenopausal women. For triaging, p16/Ki-67 is suitable for HR-HPV+ women, especially premenopausal women, to identify CIN2/3 and women with ASC-US/LSIL.

Indexed as

Atypical Squamous Cells of the CervixPapillomavirus InfectionsUterine Cervical DysplasiaCyclin-Dependent Kinase Inhibitor p16East Asian PeopleFemaleHumansKi-67 AntigenPostmenopausePremenopauseStaining and LabelingCyclin-Dependent Kinase Inhibitor p16Ki-67 AntigenCervical cancerCervical precancerHuman papillomavirusp16/Ki-67 dual-stainingPostmenopausal womenPremenopausal women

Identifiers

PMID37302113
PMCPMC11798328
OpenAlexW4380265281

What OpenQuestion holds

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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.