Evidence map›Paper›PMID 35010771›Full record

ArticleInternational journal of environmental research and public health2022

Adding Estimated Cardiorespiratory Fitness to the Framingham Risk Score and Mortality Risk in a Korean Population-Based Cohort Study.

Inhwan Lee, Jeonghyeon Kim, Hyunsik Kang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Estimated Cardiorespiratory Fitness and Metabolic Risks.International journal of environmental research and public health · 2024
    Review
  3. Article
  4. 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

3 authors.

Inhwan LeeCollege of Sport Science, Sungkyunkwan University, Suwon 16419, Korea.
Jeonghyeon KimCollege of Sport Science, Sungkyunkwan University, Suwon 16419, Korea.
Hyunsik KangCollege of Sport Science, Sungkyunkwan University, Suwon 16419, Korea.ORCID 0000-0002-8611-1873

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe added value of non-exercise-based estimation of cardiorespiratory fitness (eCRF) to cardiovascular disease (CVD) risk factors for mortality risk has not been examined in Korean populations.

methodsThis population-based prospective cohort study examined the relationship of the 10-year Framingham risk score (FRS) for CVD risk and eCRF with all-cause and CVD mortality in a representative sample of Korean adults aged 30 years and older. Data regarding a total of 38,350 participants (16,505 men/21,845 women) were obtained from the 2007-2015 Korea National Health and Nutrition Examination Survey (KNHANES). All-cause and CVD mortality were the main outcomes. The 10-year FRS point sum and eCRF level were the main exposures.

resultsAll-cause and CVD mortality was positively correlated with the 10-year FRS point summation and inversely correlated with eCRF level in this study population. The protective of high eCRF against all-cause and CVD mortality was more prominent in the middle and high FRS category than in the low FRS category. Notably, the FRS plus eCRF model has better predictor power for estimating mortality risk compared to the FRS only model.

conclusionsThe current findings indicate that eCRF can be used as an alternative to objectively measured CRF for mortality risk prediction.

Indexed as

Cardiorespiratory FitnessAdultCohort StudiesFemaleHumansMaleNutrition SurveysProspective StudiesRisk Factorscardiorespiratory fitnesscardiovascular diseaseFramingham risk scoreKoreansmortality

Identifiers

PMID35010771
PMCPMC8744979

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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.