Evidence map›Paper›PMID 37501590›Full record

ArticleRenal failure2023

Risk factors and prognosis for coronavirus disease 2019 among 131 hemodialysis patients during the Omicron variant epidemic.

Wen Wen, Shiming Cai, Yuehong Li, Xianglan Wu

Open access · goldAbstract read
In one paragraph

Article in Renal failure, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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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

4 authors at 1 institution in 1 country.

Wen WenDepartment of Nephrology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.ORCID 0000-0003-3895-2528
Shiming CaiDepartment of Nephrology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
Yuehong LiDepartment of Nephrology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
Xianglan WuDepartment of Nephrology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
Beijing Tsinghua Chang Gung Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study evaluated the presentations and outcomes of coronavirus disease 2019 (COVID-19) among patients undergoing maintenance hemodialysis (MHD) and the impact of the Omicron BF.7 variant. Adult patients (age ≥ 18 years), who underwent MHD (dialysis vintage ≥ 3 months) at the Hemodialysis Center at Beijing Tsinghua Changgung Hospital between December 2022 and January 2023, were included based on predefined eligibility criteria. Clinical and laboratory characteristics were retrospectively collected. Among 131 patients who underwent MHD (10.7% vaccination rate), 106 (80.9%) tested positive for COVID-19. The prevalence of asymptomatic, mild, moderate, and severe COVID-19 was 8.5%, 58.5%, 17%, and 16%, respectively. Among the 97 patients with symptoms, 23 (23.7%) were hospitalized and six (5.7%) died. Fever was experienced by 74.2% of patients and respiratory symptoms were the most common (81.4%). Residual symptoms persisted in 20.9% of patients one month after the onset of COVID-19. COVID-19-positive hemodialysis patients were more likely to experience weight loss and exhibit reduced albumin levels compared to those without COVID-19 (

Indexed as

COVID-19AdolescentAdultAlbuminsHumansPrognosisRenal DialysisRetrospective StudiesRisk FactorsSARS-CoV-2AlbuminsCOVID-19hemodialysismortalityOmicron

Identifiers

PMID37501590
PMCPMC10388811
OpenAlexW4385331348

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.