Evidence map›Paper›PMID 33015605›Full record

ArticleKidney medicine

COVID-19 Infection Risk Among Hemodialysis Patients in Long-term Care Facilities.

Christine K Liu, Sandeep Ghai, Sushrut S Waikar, Daniel E Weiner

Abstract read
In one paragraph

Article in Kidney medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Christine K LiuSection of Geriatrics, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA.
Sandeep GhaiSection of Nephrology, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA.
Sushrut S WaikarSection of Nephrology, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA.
Daniel E WeinerWilliam B. Schwartz Division of Nephrology, Tufts Medical Center, Boston, MA.

Funding

Tufts Clinical and Translational Science Institute (Pilot Supplement)UL1TR002544 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2018 to 2022
$50.2M
Institutional Career DevelopmentKL2TR001411 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MORONE, NATALIA E. · 2015 to 2024
$5.9M
Urinary Biomarkers of Chronic Kidney Disease Pathology and ProgressionU01DK085660 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI BONVENTRE, JOSEPH VINCENT, WAIKAR, SUSHRUT S. · 2009 to 2019
$5.3M
Coherent hemodynamics spectroscopy for cerebral autoregulation and blood flowR01NS095334 · NINDS · TUFTS UNIVERSITY MEDFORD · PI FANTINI, SERGIO · 2016 to 2020
$2.6M
Novel Human Biomarkers of Kidney FibrosisU01DK104308 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI HUMPHREYS, BENJAMIN D., WAIKAR, SUSHRUT S. · 2014 to 2018
$2.0M
Integrated Mineral Metabolism Treatment Strategies in Patients on DialysisR01DK111952 · NIDDK · UNIVERSITY OF VIRGINIA · PI SCIALLA, JULIA J · 2017 to 2020
$1.6M
Oxalate and the Progression and Complications of CKDR01DK103784 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI WAIKAR, SUSHRUT S. · 2015 to 2018
$1.6M
Mobility of older hemodialysis patientsK23AG057813 · NIA · STANFORD UNIVERSITY · PI LIU, CHRISTINE KEE · 2018 to 2022
$917k
Metabolomics and Renal Functional ReserveR21DK119751 · NIDDK · BOSTON MEDICAL CENTER · PI WAIKAR, SUSHRUT S. · 2019 to 2020
$503k
NCATS NIH HHS KL2 TR001411NCATS NIH HHS UL1 TR002544NIA NIH HHS K23 AG057813NIDDK NIH HHS R01 DK103784NIDDK NIH HHS R01 DK111952NIDDK NIH HHS R21 DK119751NIDDK NIH HHS U01 DK085660NIDDK NIH HHS U01 DK104308NINDS NIH HHS R01 NS095334
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID33015605
PMCPMC7518199

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.