Evidence map›Paper›PMID 36369022›Full record

ArticleBMC surgery2022

Time to surgery and survival in breast cancer.

Doyeon An, Jihye Choi, Jaebin Lee, Jong-Yeup Kim, Seonguk Kwon, Jungeun Kim, Seunghee Lee, Seongwoo Jeon, Chungchun Lee, Suehyun Lee and 1 more

Abstract read
In one paragraph

Article in BMC surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

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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

11 authors.

Doyeon AnDepartment of Health Administration, Graduate School, Kongju National University, Gongju, Republic of Korea.
Jihye ChoiDepartment of Health Promotion and Behavioral Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, USA.
Jaebin LeeDivision of Healthcare and Artificial Intelligence, National Institute of Health, Cheongju, Republic of Korea.
Jong-Yeup KimDepartment of Biomedical Informatics, College of Medicine, Konyang University, Daejeon, Republic of Korea.
Seonguk KwonDepartments of Surgery, Konyang University Hospital, Daejeon, Republic of Korea.
Jungeun KimDepartment of Software, College of Engineering, Kongju National University, Cheonan, Republic of Korea.
Seunghee LeeHealthcare Data Science Center, Konyang University Hospital, Daejeon, Republic of Korea.
Seongwoo JeonHealthcare Data Science Center, Konyang University Hospital, Daejeon, Republic of Korea.
Chungchun LeeHealthcare Data Science Center, Konyang University Hospital, Daejeon, Republic of Korea.
Suehyun LeeDepartment of Biomedical Informatics, College of Medicine, Konyang University, Daejeon, Republic of Korea. shleemedi@kyuh.ac.kr.
Hyekyung WooDepartment of Health Administration, Graduate School, Kongju National University, Gongju, Republic of Korea. hkwoo@kongju.ac.kr.

Funding

National Cancer Center of Korea 2020-data-we06National Research Foundation of Korea 2020R1C1C009679
6 · The paper itself

Abstract

backgroundThis study aimed to investigate the effect of the time from diagnosis to breast cancer surgery on breast cancer patients' prognosis.

methodsOf the 1900 patients diagnosed with invasive (stage 1-3) breast cancer who underwent surgery in KUH between 2012 and 2019, 279 patients were enrolled in this study. All patients, including those who received neoadjuvant chemotherapy, were classified as Model 1 subjects, and those who received immediate surgical treatment were classified as Model 2 subjects. We conducted a Cox regression analysis to identify prognostic factors of breast cancer associated with the time from diagnosis to surgery.

resultsThe univariate results indicated a sharp drop in both groups' survival rates when the time to surgery was delayed for more than 8 weeks (Model 1 p = 0.000; Model 2 p = 0.001). In the multivariate analysis, the hazard ratio (HR) of Model 1increased (HR = 6.84, 95% CI 1.06-44.25) in response to a delay in surgery of more than 8 weeks. Smoking and the American Joint Committee on Cancer (AJCC) staging system had a negative effect on breast cancer prognosis, while hormone therapy had a positive effect.

conclusionFor all patients, a delay in breast cancer surgery of more than 8 weeks was inversely associated with survival.

Indexed as

Breast NeoplasmsChemotherapy, AdjuvantFemaleHumansMastectomyNeoadjuvant TherapyNeoplasm StagingPrognosisRetrospective StudiesBreast cancerDelayed treatmentNeoadjuvant chemotherapySurgeryTime

Identifiers

PMID36369022
PMCPMC9652796

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.