Evidence map›Paper›PMID 35361864›Full record

ArticleScientific reports2022

Temporal patterns of chronic disease incidence after breast cancer: a nationwide population-based cohort study.

Danbee Kang, Minwoong Kang, Yun Soo Hong, Jihwan Park, Jin Lee, Hwa Jeong Seo, Dong Wook Kim, Jin Seok Ahn, Yeon Hee Park, Se Kyung Lee and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 24% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. 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

13 authors at 5 institutions in 2 countries.

Danbee Kang *Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, South Korea.
Minwoong Kang *Center for Clinical Epidemiology, Samsung Medical Center, Sungkyunkwan University, Seoul, South Korea.
Yun Soo HongDepartments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Jihwan ParkDepartments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Jin LeeDepartment of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, South Korea.
Hwa Jeong SeoMedical Informatics and Health Technology (MIT), Department of Health Care Management, College of Social Science, Gachon University, Seongnam, South Korea.
Dong Wook KimDepartment of Information and Statistics, Gyeongsang National University, Jinju, South Korea.
Jin Seok AhnDivision of Hematology/Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Yeon Hee ParkDepartment of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, South Korea.
Se Kyung LeeDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Dong Wook ShinDepartment of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, South Korea.
Eliseo GuallarCenter for Clinical Epidemiology, Samsung Medical Center, Sungkyunkwan University, Seoul, South Korea.
Juhee ChoDepartment of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, South Korea. jcho@skku.edu.
Samsung Medical Center · KRJohns Hopkins University · USSungkyunkwan University · KRGachon University · KRGyeongsang National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We conducted a retrospective cohort study to evaluate the temporal pattern of incidence of chronic conditions after developing breast cancer using a population-based national registry. We selected 84,969 women with newly diagnosed breast cancer between 2002 and 2016 and a 1:10 sample of age-matched non-breast cancer controls (N = 1,057,674). The main study exposure was incident breast cancer, considered as a time-varying exposure. The outcomes were incident cases of leukemia, endometrial cancer, myeloma, cardiomyopathy, osteoporosis, end stage renal disease (ESRD), pulmonary fibrosis, hypothyroidism, type 2 diabetes, hypertension and hyperlipidemia. The development of breast cancer was associated with a significantly increased risk of all outcomes analyzed except for ESRD and hypertension. The fully-adjusted risks of leukemia (HR 3.09; 95% CI 2.11-4.51), cardiomyopathy (HR 2.65; 95% CI 1.90-3.68), endometrial cancer (HR 3.53; 95% CI 2.76-4.53), hypothyroidism (HR 1.29; 95% CI 1.19-1.40), pulmonary fibrosis (HR 1.84; 95% CI 1.12-3.02), and hyperlipidemia (HR 1.24; 95% CI 1.20-1.28) remained significantly elevated after more than 5 years since diagnosis. Optimal care for breast cancer survivors requires close collaboration between oncologists and allied health care professionals to identify and manage the long-term morbidity and mortality associated with these chronic conditions.

Indexed as

Breast NeoplasmsDiabetes Mellitus, Type 2Chronic DiseaseCohort StudiesFemaleHumansIncidenceRetrospective Studies

Identifiers

PMID35361864
PMCPMC8971484
OpenAlexW4220838791

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.