Evidence map›Paper›PMID 36101873›Full record

ArticleRenal replacement therapy2022

Activity of daily life dependency predicts the risk of mortality in patients with COVID-19 undergoing hemodialysis: a retrospective analysis of a single center with nosocomial outbreak.

Jun Ino, Fumika Iemura, Chihiro Nakajima, Mio Kodama, Saeko Kumon, Keitaro Sato, Hitoshi Eizumi, Nobuhiro Hijikata, Sadayuki Oshio, Shingo Tachibana and 2 more

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Article in Renal replacement therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 1 institution in 1 country.

Jun InoDepartment of Nephrology, Toda Central General Hospital, 1-19-3 Hon-cho, Toda City, Saitama 335-0023 Japan.
Fumika IemuraDepartment of Nephrology, Toda Central General Hospital, 1-19-3 Hon-cho, Toda City, Saitama 335-0023 Japan.
Chihiro NakajimaDepartment of Nephrology, Toda Central General Hospital, 1-19-3 Hon-cho, Toda City, Saitama 335-0023 Japan.
Mio KodamaDepartment of Nephrology, Toda Central General Hospital, 1-19-3 Hon-cho, Toda City, Saitama 335-0023 Japan.
Saeko KumonDepartment of Nephrology, Toda Central General Hospital, 1-19-3 Hon-cho, Toda City, Saitama 335-0023 Japan.
Keitaro SatoDepartment of Nephrology, Toda Central General Hospital, 1-19-3 Hon-cho, Toda City, Saitama 335-0023 Japan.
Hitoshi EizumiDepartment of Nephrology, Toda Central General Hospital, 1-19-3 Hon-cho, Toda City, Saitama 335-0023 Japan.
Nobuhiro HijikataDepartment of Cardiovascular Medicine, Toda Central General Hospital, 1-19-3 Hon-cho, Toda City, Saitama 335-0023 Japan.
Sadayuki OshioDepartment of Emergency Medicine, Toda Central General Hospital, 1-19-3 Hon-cho, Toda City, Saitama 335-0023 Japan.
Shingo TachibanaDepartment of Surgery, Toda Central General Hospital, 1-19-3 Hon-cho, Toda City, Saitama 335-0023 Japan.
Kosaku NittaDepartment of Nephrology, Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjyuku-ku, Tokyo 162-0054 Japan.
Junichi HoshinoDepartment of Nephrology, Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjyuku-ku, Tokyo 162-0054 Japan.
Tokyo Women's Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We experienced a nosocomial outbreak of coronavirus disease 2019 (COVID-19) from November 2020 to February 2021, during the third wave of the pandemic in Japan. Methods: We retrospectively assessed the characteristics and data of 20 inpatients undergoing hemodialysis who were hospitalized for treatment of diseases other than COVID-19 during the COVID-19 nosocomial outbreak ("inpatient," IP), and of 10 outpatients undergoing hemodialysis who were hospitalized for the care of COVID-19 under outpatient visits ("outpatient," OP). Results: Eleven patients in the IP group (55%) and one in the OP group (10%) died. Kaplan-Meier analysis showed that the IP group died more rapidly than the OP group ( Conclusion: Our findings show that the nosocomial infected group has a worse prognosis, although it is not an independent predictor for the risk of mortality. ADL dependency could predict the risk of mortality in all hemodialysis patients with COVID-19 during the third wave pandemic in Japan.

Indexed as

Activities of daily life dependencyCOVID-19HemodialysisNosocomial outbreak

Identifiers

PMID36101873
PMCPMC9458297
OpenAlexW4295751824

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.