Evidence map›Paper›PMID 31308467›Full record

ArticleScientific reports2019

The influence on survival of delay in the treatment initiation of screening detected non-symptomatic breast cancer.

Yan Li, Yidong Zhou, Feng Mao, Jinghong Guan, Yan Lin, Xuejing Wang, Yanna Zhang, Xiaohui Zhang, Songjie Shen, Qiang Sun

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Route and efficiency analysis of cancer health care (REACH): Investigating sociodemographic and rurality of metastatic breast cancer patients at an NCI-designated facility.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Determinants of Patient Delay among Women with Carcinoma Breast.Asian Pacific journal of cancer prevention : APJCP · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

10 authors.

Yan LiDepartment of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, P.R. China.
Yidong ZhouDepartment of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, P.R. China.
Feng MaoDepartment of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, P.R. China.
Jinghong GuanDepartment of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, P.R. China.
Yan LinDepartment of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, P.R. China.
Xuejing WangDepartment of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, P.R. China.
Yanna ZhangDepartment of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, P.R. China.
Xiaohui ZhangDepartment of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, P.R. China.
Songjie ShenDepartment of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, P.R. China.
Qiang SunDepartment of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, P.R. China. sunqiangpumch@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to determine whether the detection-to-treatment interval of non-symptomatic breast cancer is associated with factors that can predict survival outcomes. A retrospective review of the Breast Surgery Department Database at Peking Union Medical College Hospital (PUMCH) was performed, and a total of 1084 non-symptomatic invasive breast cancer patients were included. The findings revealed that detection-to-treatment interval was significantly longer for women who were older (p = 0.001), lived in rural areas (p = 0.024), had lower education (p = 0.024), and had detection in other institutions (p = 0.006). Other sociodemographic and clinicopathological characteristics were not associated to longer interval. A median follow-up of 35 months (range: 6-60 months) was carried out and a long delay at more than 90 days did not significantly decrease the DFS (univariate, P = 0.232; multivariate, P = 0.088). For triple negative breast cancer, there was a worse DFS if the interval was longer than 90 days both in multivariate analysis (hazard ratio [HR] = 3.40; 95% CI, 1.12-10.35; P = 0.031) and univariate analysis (HR = 2.86; 95% CI, 1.03-7.91; P = 0.042). Further studies on care before initial treatment of non-symptomatic breast cancers are warranted.

Indexed as

AdultAgedBreast NeoplasmsChinaDisease-Free SurvivalEarly Detection of CancerFemaleHumansMiddle AgedPrognosisProportional Hazards ModelsRetrospective StudiesTime-to-TreatmentTriple Negative Breast Neoplasms

Identifiers

PMID31308467
PMCPMC6629625

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.