Evidence map›Paper›PMID 34226904›Full record

ArticleEJHaem2021

Mild anemia as a single independent predictor of mortality in patients with COVID-19.

Douglas Tremblay, Joseph L Rapp, Naomi Alpert, Wil Lieberman-Cribbin, John Mascarenhas, Emanuela Taioli, Saghi Ghaffari

Abstract read
In one paragraph

Article in EJHaem, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline 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

7 authors.

Douglas TremblayDepartment of Medicine Division of Hematology Oncology Icahn School of Medicine at Mount Sinai New York New York USA.ORCID https://orcid.org/0000-0003-2584-6953
Joseph L RappInstitute for Translational Epidemiology Icahn School of Medicine at Mount Sinai New York New York USA.
Naomi AlpertInstitute for Translational Epidemiology Icahn School of Medicine at Mount Sinai New York New York USA.
Wil Lieberman-CribbinInstitute for Translational Epidemiology Icahn School of Medicine at Mount Sinai New York New York USA.
John MascarenhasDepartment of Medicine Division of Hematology Oncology Icahn School of Medicine at Mount Sinai New York New York USA.
Emanuela TaioliInstitute for Translational Epidemiology Icahn School of Medicine at Mount Sinai New York New York USA.
Saghi GhaffariTisch Cancer Institute Icahn School of Medicine at Mount Sinai New York New York USA.

Funding

THE TISCH CANCER INSTITUTE - CANCER CENTER SUPPORT GRANTP30CA196521 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Deanna L Benson · 2015 to 2026
$35.4M
(PQ5) Mitochondria in Leukemic Stem Cell Disease ProgressionR01CA205975 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GHAFFARI, SAGHI · 2016 to 2025
$3.9M
Mitochondria in the Regulation of Terminal ErythropoiesisR01HL136255 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SAGHI GHAFFARI · 2017 to 2026
$3.8M
NCI NIH HHS P30 CA196521NCI NIH HHS R01 CA205975NHLBI NIH HHS R01 HL136255
6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has led to an unprecedented international health crisis. COVID-19 clinical presentations cover a wide range from asymptomatic to severe illness and death. Given the limited therapeutic resources and unexpected clinical features of the disease, readily accessible predictive biomarkers are urgently needed to improve patient care and management. We asked the degree to which anemia may influence the outcome of patients with COVID-19. To this end, we identified 3777 patients who were positively diagnosed with COVID-19 between March 1 and April 1 2020 in New York City. We evaluated 2,562 patients with available red blood cell, hemoglobin, and related laboratory values. Multivariable cox proportional hazards regression showed that anemia was a significant independent predictor of mortality (hazard ratio (HR): 1.26, 95% Confidence Interval [CI]: 1.06-1.51), independent of age, sex, and comorbidities. There was a direct correlation between the degree of anemia and the risk of mortality when hemoglobin was treated as a continuous variable (HR

Indexed as

anemiaCOVID‐19haemoglobinmortalityprognosisRBC

Identifiers

PMID34226904
PMCPMC8242891

What OpenQuestion holds

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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.