Evidence map›Paper›PMID 34318946›Full record

ArticleSeminars in dialysis2021

Predicting hospital mortality in COVID-19 hemodialysis patients with developed scores.

Can Sevinc, Recep Demirci, Ozge Timur

Open access · bronzeAbstract read
In one paragraph

Article in Seminars in dialysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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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

3 authors at 3 institutions in 1 country.

Can SevincDepartment of Internal Medicine and Nephrology, Ataturk University Faculty of Medicine, Erzurum, Turkey.ORCID 0000-0002-4069-9181
Recep DemirciDepartment of Internal Medicine and Nephrology, Kanuni Sultan Suleyman Research and Training Hospital, Istanbul, Turkey.ORCID 0000-0001-5609-9634
Ozge TimurDepartment of Internal Medicine, Erzurum Regional Research and Training Hospital, Erzurum, Turkey.ORCID 0000-0002-7296-5536
Atatürk University · TRErzurum Regional Training and Research Hospital · TRİstanbul Kanuni Sultan Süleyman Eğitim ve Araştırma Hastanesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Various risk scores such as COVID-GRAM Critical Illness Risk Score (COVID-GRAM), quick COVID-19 Severity Index (qCSI), and systemic immune-inflammation index (SII) have been developed to determine critical illness in hospitalized patients. None of these risk scoring systems was evaluated in HD patients who indeed carry the highest risk of developing critical illnesses. We aimed to evaluate, in hemodialysis (HD) patients with COVID-19, the performance of these scoring systems for the need of intensive care unit (ICU) and mortality. The qCSI, COVID-GRAM, and SII scores of the patients at admission to hospital were calculated and grouped according to the scoring results. The primary outcome of the study was mortality and need of ICU. Critical illness was described as a composition of admission to the ICU, invasive ventilation, or death. It was determined that when the qCSI is over 6.5, the need for ICU increased 13.8 times and mortality increased 21.3 times. When the COVID-GRAM score is >157, the ICU need increased 14.7 times and the mortality increased 33.7 times. We found that the need for ICU increased 4.2 times and mortality increased 3.1 times when the SII score was >1145. These tests, which can be easily calculated, could be used to estimate the risk of developing critical illness among COVID-19 HD patients. Estimating the risk of critical illness could help to reduce mortality in HD patients.

Indexed as

Hospital MortalityRenal DialysisRisk AssessmentCohort StudiesCOVID-19FemaleHospitalizationHumansIntensive Care UnitsMaleMiddle AgedRetrospective StudiesTurkey

Identifiers

PMID34318946
PMCPMC8447133
OpenAlexW3186874528

What OpenQuestion holds

Textmetadata
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.