Evidence map›Paper›PMID 37317668›Full record

ArticleCancer medicine2023

Impact of pre- and post-diagnosis physical activity on the mortality of patients with cancer: Results from the Health Examinees-G study in Korea.

Jaesung Choi, Joo-Yong Park, Ji-Eun Kim, Miyoung Lee, Kyuwan Lee, Jong-Koo Lee, Daehee Kang, Aesun Shin, Ji-Yeob Choi

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Exercise Prescription in Cardio-Oncology.Journal of clinical medicine · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. 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 at 2 institutions in 3 countries.

Jaesung ChoiInstitute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, South Korea.
Joo-Yong ParkDepartment of Big Data Medical Convergence, Eulji University, Seongnam-Si, South Korea.
Ji-Eun KimDepartment of Biomedical Sciences, Seoul National University Graduate School, Seoul, South Korea.
Miyoung LeeCollege of Physical Education and Sport Science, Kookmin University, Seoul, South Korea.
Kyuwan LeeDepartment of Population Sciences, Beckman Research Institute, City of Hope (COH), Duarte, California, USA.ORCID 0000-0002-2015-4109
Jong-Koo LeeDepartment of Family Medicine, College of Medicine, Seoul National University, Seoul, South Korea.
Daehee KangDepartment of Big Data Medical Convergence, Eulji University, Seongnam-Si, South Korea.
Aesun ShinDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea.ORCID 0000-0002-6426-1969
Ji-Yeob ChoiInstitute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, South Korea.ORCID 0000-0001-5365-8189
Seoul National University · KRKookmin University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysical activity (PA) is recommended to improve the survival of cancer patients. However, the prognostic impact of specific PAs is not well understood. Therefore, we investigated the associations of the duration, type, intensity, and number of PAs one participates in pre- and post-diagnosis with mortality in Korean patients with cancer.

methodsAmong the participants aged 40-69 years recruited from the Health Examines study, those diagnosed with cancer after baseline (n = 7749) and within 10 years before baseline (n = 3008) were included in the analyses for pre- and post-diagnosis PA, respectively. Duration, intensity, type, and number of leisure-time physical activities participated in were assessed using questionnaires. The Cox proportional hazard model was used to characterize the association between PA and cancer-specific mortality, adjusting for demographics, behaviors, comorbidities, and cancer stage based on the Surveillance, Epidemiology, and End Results program.

resultsPre-diagnosis, patients participating in vigorous-intensity activities (hazard ratio [HR]: 0.70, 95% confidence interval [CI]: 0.61-0.82), walking (HR: 0.85, 95% CI: 0.74-0.97), climbing (HR: 0.65, 95% CI: 0.55-0.77), sports (HR: 0.39, 95% CI: 0.25-0.61), and more than two activities (HR: 0.73, 95% CI: 0.63-0.86) had significantly lower all-cause mortality. Importantly, these associations were only found in patients with colorectal cancer participating in vigorous-intensity activities (HR: 0.40, 95% CI: 0.23-0.70). Post-diagnosis, only patients who performed more than two activities (HR: 0.65, 95% CI: 0.44-0.95) had significantly lower all-cause mortality. Similar associations were found for cancer mortality, both pre- and post-diagnosis.

conclusionSpecific characteristics of PA pre- and post-diagnosis may influence the survival of cancer patients.

Indexed as

ExerciseNeoplasmsCohort StudiesHumansMotor ActivityRepublic of Koreacohort studiesmortalityneoplasmsphysical activity

Identifiers

PMID37317668
PMCPMC10469756
OpenAlexW4380730860

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.