Evidence map›Paper›PMID 34422593›Full record

ArticleGland surgery2021

Enhancing social support and knowledge perception decreases patient delay in breast cancer.

Baisen Li, Li Xia, Jing Yang, Min Wen, Miao Yu, Exian Mou, Shiwei Liu, Hui Li, Hao Wang

Abstract read
In one paragraph

Article in Gland surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. 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

9 authors.

Baisen LiDepartment of Radiotherapy Center, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Li XiaDepartment of Breast Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Jing YangDepartment of Breast Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Min WenDepartment of Breast Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Miao YuDepartment of Breast Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Exian MouDepartment of Breast Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Shiwei LiuDepartment of Breast Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Hui LiDepartment of Breast Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Hao WangDepartment of Breast Surgery, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient delay commonly appears in breast cancer (BC), but the findings for influential factors may be contaminated by recall bias. The real factors in patient delay (divided into appraisal delay and utilization delay) for women with BC urgently need to be objectively analyzed for preventing the progression of this disease.

methodsWomen meeting strict inclusion and exclusion criteria were asked to fill in a questionnaire, which included three sections of sociodemographic characteristics, medical history, and knowledge of BC. Later on, the outcomes were processed according to the verification of BC by pathological diagnosis. Then, multiple linear regression was conducted to analyze the potential factors of the delay and to explore their relations between these factors and BC.

resultsAppraisal delay is the leading component of patient delay. Appraisal delay's time distribution of a higher percentage at delay time 0-29 and >360 days, while other delay time occupies lower percentage, which is highly consistent with that of patient delay, while utilization delay mainly occurs in the 0-29 days period. Concerning the influential factors for the different phases of delay, age (P=0.051, P=0.035 separately in appraisal and patient delay), residential address (P=0.036, P=0.010) and symptom disclosure to others (P=0.015, P=0.015) led to a decrease of appraisal and patient delay. However, reasons for first medical consultation (P=0.033, P=0.006) and knowledge of BC (P=0.027, P=0.002) would accelerate appraisal and patient delay. Many factors related to hospitals, such as hospital category for first medical consultation (P=0.030) and examinations for first medical consultation (P=0.055) would reduce utilization delay.

conclusionsObstacles in medical consultation for younger women should be removed, and early interventions are needed to avoid progression of BC.

Indexed as

breast cancer (BC)Chinesedelay-related factorsPatient delay

Identifiers

PMID34422593
PMCPMC8340337

What OpenQuestion holds

Textmetadata
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.