Evidence map›Paper›PMID 31134506›Full record

ArticleInternational urology and nephrology2019

Validation of risk prediction tools in elderly patients who initiate dialysis.

Dohui Hwang, Eunbin Lee, Samel Park, Byung Chul Yoo, Suyeon Park, Kyoung Jin Choi, Songhee Oh, Mi Jung Kim, Hyoungnae Kim, Jin Seok Jeon and 3 more

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Article in International urology and nephrology, 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

5 · Who and what money

Authors and funding

13 authors.

Dohui HwangDivision of Nephrology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, 59 Daesagwan-ro, Yongsan-gu, Seoul, 04401, Republic of Korea.
Eunbin LeeDivision of Nephrology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, 59 Daesagwan-ro, Yongsan-gu, Seoul, 04401, Republic of Korea.
Samel ParkDivision of Nephrology, Soonchunhyang University Cheonan Hospital, Cheonan, Chungcheongnam-do, Korea.
Byung Chul YooDivision of Nephrology, Soonchunhyang University Bucheon Hospital, Cheonan, Gyeonggi-do, Korea.
Suyeon ParkDepartment of Biostatistics, Soonchunhyang University Hospital, Seoul, Korea.
Kyoung Jin ChoiDivision of Nephrology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, 59 Daesagwan-ro, Yongsan-gu, Seoul, 04401, Republic of Korea.
Songhee OhDivision of Nephrology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, 59 Daesagwan-ro, Yongsan-gu, Seoul, 04401, Republic of Korea.
Mi Jung KimDivision of Nephrology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, 59 Daesagwan-ro, Yongsan-gu, Seoul, 04401, Republic of Korea.
Hyoungnae KimDivision of Nephrology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, 59 Daesagwan-ro, Yongsan-gu, Seoul, 04401, Republic of Korea.
Jin Seok JeonDivision of Nephrology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, 59 Daesagwan-ro, Yongsan-gu, Seoul, 04401, Republic of Korea.
Hyunjin NohDivision of Nephrology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, 59 Daesagwan-ro, Yongsan-gu, Seoul, 04401, Republic of Korea.
Dong Cheol HanDivision of Nephrology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, 59 Daesagwan-ro, Yongsan-gu, Seoul, 04401, Republic of Korea.
Soon Hyo KwonDivision of Nephrology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, 59 Daesagwan-ro, Yongsan-gu, Seoul, 04401, Republic of Korea. ksoonhyo@schmc.ac.kr.ORCID http://orcid.org/0000-0002-4114-4196

Funding

National Research Foundation of Korea NRF-2017R1D1A3B03029800Soonchunhyang University 2018012
6 · The paper itself

Abstract

purposeThe number of elderly patients with end-stage renal disease on maintenance dialysis therapy is gradually increasing. The elderly population has difficulties in making decisions regarding initiation of dialysis treatment because of their high morbidity and frailty. The purpose of this study was to determine the best prognostic tool in predicting short-term mortality in elderly patients undergoing dialysis.

methodsThis study is a multicenter retrospective study. We enrolled patients, aged ≥ 75 years, who began hemodialysis at three university hospitals in Korea from January 2010 to December 2016. We applied two comorbidity-based score tools (Thamer and Wick, each consisting of seven variables) and the Clinical Frailty Scale (CFS, seven scales), which were validated for mortality prediction in elderly incident patients. Patient's information was obtained from electronic medical records in the participating center, and mortality data (up to December 2016) were obtained from the Korean National Statistical Office. Models were compared using the area under the receiver operating characteristic curve.

resultsAmong the 219 patients enrolled in this study, the 3- and 6-month mortality rates were 31 (14.4%) and 48 (22.4%), respectively. Receiver operating characteristic curve analysis revealed that both score systems and the CFS showed similar performance while predicting 3- and 6-month mortality. The scores from these indices correlated with survival time.

conclusionPredicting short-term mortality and long-term survival time for elderly patients is possible using the Thamer and Wick scores and the CFS.

Indexed as

FrailtyKidney Failure, ChronicRenal DialysisAgedFemaleGeriatric AssessmentHumansMaleMortalityMultiple Chronic ConditionsPrognosisReproducibility of ResultsRepublic of KoreaResearch DesignRisk AssessmentRisk FactorsDialysisElderlyMortalityRisk

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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.