Evidence map›Paper›PMID 30552374›Full record

ArticleScientific reports2018

Gender-specific discrepancy in subjective global assessment for mortality in hemodialysis patients.

Ye Eun Ko, Taeyoung Yun, Hye Ah Lee, Seung-Jung Kim, Duk-Hee Kang, Kyu Bok Choi, Yon Su Kim, Yong-Lim Kim, Hyung Jung Oh, Dong-Ryeol Ryu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Observational
  2. Update on quantitative radiomics of pancreatic tumors.Abdominal radiology (New York) · 2022
    Review
  3. Microbial communities associated with honey bees in Brazil and in the United States.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2021
    Article
  4. Observational
  5. 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

10 authors at 2 institutions in 1 country.

Ye Eun KoEwha Womans University, College of Medicine, Seoul, Korea.
Taeyoung YunEwha Womans University, College of Medicine, Seoul, Korea.
Hye Ah LeeClinical Trial Center, Ewha Womans University Mokdong Hospital, Seoul, Korea.ORCID http://orcid.org/0000-0002-4051-0350
Seung-Jung KimDepartment of Internal Medicine, College of Medicine, Ewha Womans University, Seoul, Korea.
Duk-Hee KangDepartment of Internal Medicine, College of Medicine, Ewha Womans University, Seoul, Korea.
Kyu Bok ChoiDepartment of Internal Medicine, College of Medicine, Ewha Womans University, Seoul, Korea.
Yon Su KimDepartment of Internal Medicine, Seoul National University of Medicine, Seoul, Korea.
Yong-Lim KimDepartment of Internal Medicine, Kyungpook National University School of Medicine, Daegu, Korea.
Hyung Jung OhEwha Institute of Convergence Medicine, Ewha Womans University Mokdong Hospital, Seoul, Korea. ohjmd@naver.com.
Dong-Ryeol RyuDepartment of Internal Medicine, College of Medicine, Ewha Womans University, Seoul, Korea. drryu@ewha.ac.kr.ORCID http://orcid.org/0000-0002-5309-7606
Ewha Womans University · KRSeoul National University · KR

Funding

National Research Foundation of Korea (NRF) 2010-0027945
6 · The paper itself

Abstract

Although subjective global assessment (SGA) is a widely used representative tool for nutritional investigations even among dialysis patients, no studies have examined gender-specific differences in the ability of SGA to predict mortality in hemodialysis (HD) patients. A total of 2,798 dialysis patients were enrolled from clinical research center for end-stage renal disease (CRC for ESRD) between 2009 and 2015. The cohort was divided into two groups based on nutritional status as evaluated by SGA: 'good nutrition' and 'mild to severe malnutrition'. Multivariate Cox proportional regression analyses were performed to investigate gender-specific differences in SGA for mortality among incident and prevalent HD patients. 'Mild to severe malnutrition' was significantly correlated with increased mortality compared with 'good nutrition' for all HD, incident and prevalent HD patients. Compared with 'good nutrition', 'mild to severe malnutrition' was also more significantly associated with increased mortality in male patients in the incident and prevalent HD groups. However, no significant associations between nutritional status evaluated by SGA and mortality were observed for female patients. SGA of HD patients can be useful for predicting mortality, especially in male HD patients. However, SGA alone might not reflect adverse outcomes in female patients.

Indexed as

Renal DialysisSex FactorsAgedFemaleHumansIncidenceKidney Failure, ChronicKoreaMaleMalnutritionMiddle AgedSurvival Analysis

Identifiers

PMID30552374
PMCPMC6294808
OpenAlexW2905572674

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.