Evidence map›Paper›PMID 30428639›Full record

ArticleCancer research and treatment2019

Patient and Care Delays of Breast Cancer in China.

Yue-Lin Li, Ya-Chao Qin, Lu-Ying Tang, Yu-Huang Liao, Wei Zhang, Xiao-Ming Xie, Qiang Liu, Ying Lin, Ze-Fang Ren

Abstract read
In one paragraph

Article in Cancer research and treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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

  1. Pooled it
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  14. Factors Associated with Diagnostic Delays among Tunisian Breast Cancer Patients.Asian Pacific journal of cancer prevention : APJCP · 2023
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  18. Delay in Seeking Medical Attention and Diagnosis in Chinese Melanoma Patients: A Cross-Sectional Study.International journal of environmental research and public health · 2022
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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

9 authors.

Yue-Lin LiDepartment of Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Ya-Chao QinDepartment of Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Lu-Ying TangDepartment of Pathology, Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yu-Huang LiaoDepartment of Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Wei ZhangDepartment of Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Xiao-Ming XieDepartment of Breast Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Qiang LiuBreast Tumor Center, Second Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Ying LinDepartment of Breast and Thyroid Surgery, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Ze-Fang RenDepartment of Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.

Funding

National Natural Science Foundation of China 81773515
6 · The paper itself

Abstract

purposeThis study differentiates patient and care delays of breast cancer and explores the related factors as well as the associations with the prognosis in Guangzhou, a southern city of China.

methodsA cohort of female incident breast cancer patients (n=1,551) was recruited from October 2008 to March 2012 and followed up until January 1, 2016 (n=1,374) in the affiliated hospitals of Sun Yat-sen University. The factors associated with patient and care delays were analyzed with multivariable logistic models. Cox proportional hazards regression models were constructed to estimate the impacts of the delays on the prognosis.

resultsThere were 40.4% patient delay (≥3 months) and 15.5% care delay (≥1 month). The patient delay, but not the care delay, was significantly related to the clinical stage and consequently worsened the prognosis of breast cancer (hazard ratio, 1.45; 95% confidence interval, 1.09 to 1.91 for progression-free survival). The factors related to an increased patient delay included premenopausal status, history of benign breast disease, and less physical examination.

conclusionPatient delay was the main type of delay in Guangzhou and resulted in higher clinical stage and poor prognosis of breast cancer. Screening for breast cancer among premenopausal women may be an effective way to reduce this delay.

Indexed as

Breast NeoplasmsChinaEarly Detection of CancerFemaleHumansLogistic ModelsNeoplasm StagingPremenopausePrognosisTime-to-TreatmentBreast neoplasmsCare delayPatient delayPrognosisRelated factors

Identifiers

PMID30428639
PMCPMC6639234

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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.