Evidence map›Paper›PMID 26844511›Full record

Observational studyMedicine2016

Predictive Mortality Index for Community-Dwelling Elderly Koreans.

Nan H Kim, Hyun J Cho, Soriul Kim, Ji H Seo, Hyun J Lee, Ji H Yu, Hye S Chung, Hye J Yoo, Ji A Seo, Sin Gon Kim and 4 more

Abstract readObservational StudyValidation Study
In one paragraph

Observational study in Medicine, 2016. 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. Comparison of Machine Learning Techniques for Mortality Prediction in a Prospective Cohort of Older Adults.International journal of environmental research and public health · 2021
    Article
  3. Social relationships and survival in the older adult cohort.Revista latino-americana de enfermagem · 2021
    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

14 authors.

Nan H KimFrom the Department of Internal Medicine, Division of Endocrinology and Metabolism, College of Medicine, Korea University, Seoul (NHK, HJC, JHS, HJL, JHY, HSC, HJY, JAS, SGK, SHB, DSC, KMC); Division of Epidemiology and Health Index, Center for Genome Science, Korea National Institute of Health, Korea Center for Disease Control and Prevention, Cheongju (SK); Department of Internal Medicine, Division of Pulmonary and Critical Care Medicine, College of Medicine, Korea University, Seoul, Korea (CS).
Hyun J Cho
Soriul Kim
Ji H Seo
Hyun J Lee
Ji H Yu
Hye S Chung
Hye J Yoo
Ji A Seo
Sin Gon Kim
Sei Hyun Baik
Dong Seop Choi
Chol Shin
Kyung Mook Choi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are very few predictive indexes for long-term mortality among community-dwelling elderly Asian individuals, despite its importance, given the rapid and continuous increase in this population. We aimed to develop 10-year predictive mortality indexes for community-dwelling elderly Korean men and women based on routinely collected clinical data.We used data from 2244 elderly individuals (older than 60 years of age) from the southwest Seoul Study, a prospective cohort study, for the development of a prognostic index. An independent longitudinal cohort of 679 elderly participants was selected from the Korean Genome Epidemiology Study in Ansan City for validation.During a 10-year follow-up, 393 participants (17.5%) from the development cohort died. Nine risk factors were identified and weighed in the Cox proportional regression model to create a point scoring system: age, male sex, smoking, diabetes, systolic blood pressure, triglyceride, total cholesterol, white blood cell count, and hemoglobin. In the development cohort, the 10-year mortality risk was 6.6%, 14.8%, 18.2%, and 38.4% among subjects with 1 to 4, 5 to 7, 8 to 9, and ≥10 points, respectively. In the validation cohort, the 10-year mortality risk was 5.2%, 12.0%, 16.0%, and 16.0% according to these categories. The C-statistic for the point system was 0.73 and 0.67 in the development and validation cohorts, respectively.The present study provides valuable information for prognosis among elderly Koreans and may guide individualized approaches for appropriate care in a rapidly aging society.

Indexed as

Health Status IndicatorsMortalityAgedFemaleHumansIndependent LivingMaleMiddle AgedProportional Hazards ModelsRepublic of KoreaRisk Assessment

Identifiers

PMID26844511
PMCPMC4748928

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.