Evidence map›Paper›PMID 39931209›Full record

ArticleFrontiers in oncology2024

Multi-institutional evaluation comparing guidance from International Ki67 Working Group vs National Health Commission of China on immunohistochemistry-based Ki67 assessment alongside the Quantitative Dot Blot method.

Yin Wang, Jiarui Zou, Qinghua Cao, Guihong Dai, Panhong Fan, Xue Gong, Jinyan Jiang, Yanqing Kong, Chao Liu, Chunhui Liu and 17 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2024. 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. Cardiovascular and thromboembolic outcomes with immune checkpoint inhibitors in gastroesophageal cancer: a propensity score-matched cohort study.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2025
    Article
  2. 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

27 authors.

Yin Wang *Department of Pathology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China.
Jiarui Zou *Department of Pathology, Hangzhou Red Cross Hospital, Hangzhou, China.
Qinghua CaoDepartment of Pathology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China.
Guihong DaiDepartment of Pathology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou School of Clinical Medicine, Nanjing Medical University, Taizhou, China.
Panhong FanDepartment of Pathology, Henan Provincial People's Hospital, Zhengzhou, China.
Xue GongDepartment of Pathology, Qinghai University Affiliated Hospital, Xining, China.
Jinyan JiangDepartment of Pathology, Chenzhou No. 1 People Hospital, Chenzhou, China.
Yanqing KongDepartment of Pathology, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen, China.
Chao LiuDepartment of Pathology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Chunhui LiuDepartment of Pathology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China.
Chenjia LuDepartment of Pathology, The People's Hospital of LongHua, Shenzhen, China.
Meiren LiDepartment of Pathology, Jiujiang University Affiliated Hospital, Jiujiang, China.
Zhiqiang LangDepartment of Pathology, Affiliated Yantai Yuhuangding Hospital, Qingdao University, Yantai, China.
Yang LinDepartment of Health statistics, School of Public Health, Binzhou Medical University, Yantai, China.
Yan PengDepartment of Pathology, The Third Affiliated Hospital of Soochow University/Changzhou First People's Hospital, Changzhou, China.
Haiyan ShiDepartment of Pathology, Guangdong Hospital of Integrated Traditional Chinese and Western Medicine, Guangzhou, China.
Yuhuan WangDepartment of Pathology, People's Hospital of Xinjiang Uygur Autonomous Region, Urymqi, China.
Jiu WangDepartment of Health statistics, School of Public Health, Binzhou Medical University, Yantai, China.
Bichen XieDepartment of Pathology, Affiliated Hospital of Jiangnan University, Wuxi, China.
Bing YangDepartment of Pathology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China.
Guohua YuDepartment of Pathology, Affiliated Yantai Yuhuangding Hospital, Qingdao University, Yantai, China.
Cuiping ZhangDepartment of Pathology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China.
Hengming ZhangDepartment of Pathology, Weifang People's Hospital, Weifang, China.
Luting ZhouDepartment of Pathology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Zilan ZhangDepartment of Pathology, Northern Jiangsu People's Hospital, Yangzhou, China.
Zhenli ZhuDepartment of Pathology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China.
Junmei HaoDepartment of Pathology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Recommendations from the National Health Commission of China (NHCC) and the International Ki67 Working Group (IKWG) were issued to guide immunohistochemistry (IHC)-based Ki67 scoring for breast cancer patients in daily clinical practice. They were evaluated in this multi-institutional study alongside the results from the Quantitative Dot Blot (QDB) method. Methods: Three alternative adjacent sections from 40 primary ER+ breast cancer resection blocks were randomly assigned a number from 1 to 120 for Ki67 staining and reviewed by 21 pathologists, while the other three alternative sections were sent for QDB analysis of Ki67 protein levels. Ki67 scores were grouped by 5/30% (IKWG), 10/30% (NHCC) and 20/30% (NHCC appendix 9, NHCCa9), respectively while QDB results were grouped by C Results: The overall Intraclass Correlation Coefficient (ICC) was 0.785 for IHC evaluations from 21 pathologists, with Fleiss Kappa values of 0.555, 0.628, and 0.480 when Ki67 scores were grouped by guidance from IKWG, NHCC, and NHCCa9, respectively. In comparison, the ICC and Fleiss kappa values for the QDB analysis were 0.939 and 0.831, respectively. When IHC and QDB results were cross-referenced, more specimens were grouped as high-risk by QDB than IHC, and NHCCa9 led to the highest percentage of disagreement between the two methods. Conclusion: The IKWG recommendation was harder to achieve categorized agreement among pathologists than the NHCC recommendation, yet it led to the best agreement with the QDB to define the low-risk group. The QDB method offers significantly improved consistency compared to the current IHC-based Ki67 assessment.

Indexed as

breast cancerIHCIKWGKi67NHCCQDB

Identifiers

PMID39931209
PMCPMC11808281

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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.