Evidence map›Paper›PMID 30855505›Full record

ArticleMedicine2019

Hemodialysis interval and its association with emergency care and mortality: A nationwide population-based cohort study.

Ching-Wen Chien, Chi-Jung Huang, Zi-Hao Chao, Song-Kong Huang, Pei-En Chen, Tao-Hsin Tung

Abstract read
In one paragraph

Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

6 authors.

Ching-Wen ChienInstitute for Hospital Management, Tsing Hua University, Shenzhen Campus, China.
Chi-Jung HuangInstitute of Hospital and Health Care Administration, National Yang-Ming University, Taipei.
Zi-Hao ChaoFaculty of Public Health, College of Medicine, Fu Jen Catholic University, New Taipei.
Song-Kong HuangInstitute of Hospital and Health Care Administration, National Yang-Ming University, Taipei.
Pei-En ChenAssociation of Health Industry Management and Development.
Tao-Hsin TungDepartment of Medical Research and Education, Cheng Hsin General Hospital, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

End-stage renal disease (ESRD) incidence in Taiwan is highest worldwide. This study analyzed the relationship between health resource use and patients on hemodialysis (HD) asking for medical help as well as the outcomes in Taiwan.This was a retrospective cohort study that analyzed the medical data of patients on dialysis, which were collected from the National Health Insurance Database of Taiwan for the period 2000 to 2010. The study sample was screened out, and new patients starting HD from 2001 to 2005 were considered.The daily distribution of patients with ESRD in the Monday, Wednesday, and Friday (MWF) and Tuesday, Thursday, and Saturday (TTS) groups who underwent emergent HD showed remarkable person-time on Monday and Tuesday, respectively. The disease (complication) distribution in the MWF group was higher than that in the TTS group, and the statistics of heart-failure-associated diseases were significantly different. Considering 5-year survival status, the mortality rate of patients with HD was 21.94% (255 of 1162), among which those with a history of cerebrovascular disease and diabetes were 68.63% and 72.16%, respectively.Long interdialytic intervals may induce emergency dialysis. Therefore, the frequency of emergent HD therapy has increased (thrice a week), as predicted in the current HD policy.

Indexed as

Emergency Medical ServicesFemaleFollow-Up StudiesHumansKidney Failure, ChronicMaleMiddle AgedRenal DialysisRetrospective StudiesTaiwanTime Factors

Identifiers

PMID30855505
PMCPMC6417509

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Registered trials

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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.