Evidence map›Paper›PMID 32838083›Full record

ArticleKidney international reports2020

The Cumulative Rate of SARS-CoV-2 Infection in Chinese Hemodialysis Patients.

Xin Xu, Sheng Nie, Jian Sun, Yaozhong Kong, Min Liang, Dongfeng Li, Tean Ma, Jiaqing Peng, Shikui Gao, Yong Shao and 5 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Kidney international reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 31% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Asymptomatic SARS-CoV-2 infection: A systematic review and meta-analysis.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Current status of COVID-19 among hemodialysis patients in the East Azerbaijan Province of Iran.Hemodialysis international. International Symposium on Home Hemodialysis · 2021
    Article
  7. Article
  8. COVID-19 and ESRD: Entering a New Era of Uncertainty.Kidney international reports · 2020
    Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 11 institutions in 1 country.

Xin XuState Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Guangzhou, China.
Sheng NieState Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Guangzhou, China.
Jian SunState Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Guangzhou, China.
Yaozhong KongDepartment of Nephrology, The First People's Hospital of Foshan, Foshan, China.
Min LiangState Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Guangzhou, China.
Dongfeng LiThe People`s Hospital of Honghu, Honghu, China.
Tean MaDepartment of Nephrology, The First People's Hospital of Jingzhou, Jingzhou, China.
Jiaqing PengDepartment of Nephrology, Jingzhou Central Hospital, Jingzhou, China.
Shikui GaoDepartment of Nephrology, Honghu Traditional Chinese Medicine Hospital, Honghu, China.
Yong ShaoDepartment of Nephrology, The Second People's Hospital of Honghu, Honghu, China.
Yan ZhaDepartment of Nephrology, Guizhou Provincial People's Hospital, Guizhou University, Guiyang, China.
Gangyi PengBureau of Medical Administration, Health Commission of Guangdong, Guangdong, China.
Chanjun RenWuhan Kingmed Medical Laboratory, Wuhan, China.
Ailong HuangKey Laboratory of Molecular Biology on Infectious Diseases, Ministry of Education, Chongqing Medical University, Chongqing, China.
Fan Fan HouState Key Laboratory of Organ Failure Research, National Clinical Research Center for Kidney Disease, Guangzhou, China.
Nanfang Hospital · CNHonghu Hospital of Traditional Chinese Medicine · CNChongqing Medical University · CNFirst People's Hospital of Foshan · CNFirst People's Hospital of Jingzhou · CNGuizhou University · CNHealth Commission of Anhui Province · CNJingzhou Central Hospital · CNKingmed Diagnostics · CNNational Clinical Research Center for Digestive Diseases · CNXian Yang Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a paucity of information regarding severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in patients undergoing maintenance hemodialysis. We aimed to estimate the cumulative attack rate of SARS-CoV-2 in hemodialysis patients in China using a serological test.

methodsWe enrolled all hemodialysis patients from 8 hemodialysis facilities in Honghu and Jingzhou of Hubei province and Guangzhou and Foshan of Guangdong province in China. We screened these patients for SARS-CoV-2 infection by both a reverse-transcriptase polymerase chain reaction (RT-PCR) test for viral RNA and a serological test for IgG and IgM antibodies. Data on demographics and clinical characteristics were collected

resultsAmong 1542 hemodialysis patients, 5 (0.32%) and 51 (3.3%) were tested positive by the RT-PCR test and the serological test, respectively. The seropositive rate in Hubei (3.6%) was higher than that in Guangdong (2.8%), although the difference was not statistically significant (

conclusionThe cumulative rate of SARS-CoV-2 infection in hemodialysis patients in China was high at 3.3%. Serological test detected 10 times more cases of SARS-CoV-2 infection than the RT-PCR test and should be the preferred tool for estimating the prevalence of coronavirus disease 2019 (COVID-19).

Indexed as

antibodyCOVID-19hemodialysis

Identifiers

PMID32838083
PMCPMC7368651
OpenAlexW4233701512

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.