Evidence map›Paper›PMID 33978844›Full record

ArticleAnnals of intensive care2021

Convalescent plasma therapy and mortality in COVID-19 patients admitted to the ICU: a prospective observational study.

Stefan Hatzl, Florian Posch, Nazanin Sareban, Martin Stradner, Konrad Rosskopf, Alexander C Reisinger, Philipp Eller, Michael Schörghuber, Wolfgang Toller, Zdenka Sloup and 8 more

Open access · goldAbstract read
In one paragraph

Article in Annals of intensive care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Effect of convalescent plasma therapy on mortality in moderate-to-severely Ill COVID-19 patients.Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis · 2022
    Article
  4. Observational
  5. Article
  6. Article
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

18 authors at 1 institution in 1 country.

Stefan HatzlIntensive Care Unit, Department of Internal Medicine, Medical University of Graz, Graz, Austria.ORCID http://orcid.org/0000-0001-6266-0512
Florian PoschDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Nazanin SarebanDepartment for Blood Group Serology and Transfusion Medicine, Medical University Graz, Graz, Austria.
Martin StradnerDivision of Rheumatology and Immunology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Konrad RosskopfDepartment for Blood Group Serology and Transfusion Medicine, Medical University Graz, Graz, Austria.
Alexander C ReisingerIntensive Care Unit, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Philipp EllerIntensive Care Unit, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Michael SchörghuberDepartment of Anesthesiology and Intensive Care Medicine, Medical University Graz, Graz, Austria.
Wolfgang TollerDepartment of Anesthesiology and Intensive Care Medicine, Medical University Graz, Graz, Austria.
Zdenka SloupClinical Institute for Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria.
Florian PrüllerClinical Institute for Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria.
Katharina GütlDivision of Angiology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Stefan PilzDivision of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Alexander R RosenkranzDivision of Nephrology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Hildegard T GreinixDivision of Hematology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Robert KrauseSection of Infectious Diseases and Tropical Medicine, Department of Internal Medicine, Medical University of Graz, Graz, Austria. robert.krause@medunigraz.at.
Peter SchlenkeDepartment for Blood Group Serology and Transfusion Medicine, Medical University Graz, Graz, Austria.
Gernot SchilcherIntensive Care Unit, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Medical University of Graz · AT

Funding

City of Graz Research Grant
6 · The paper itself

Abstract

backgroundThis study aimed to quantify the potential survival benefit of convalescent plasma therapy (CVP) in critically ill patients with acute respiratory failure related to coronavirus disease-2019 (COVID-19).

methodsThis is a single-center prospective observational cohort study in COVID-19 patients with acute respiratory failure. Immediately after intensive care unit (ICU) admission patients were allocated to CVP treatment following pre-specified criteria to rapidly identify those patients potentially susceptible for this treatment. A propensity score adjustment [inverse probability of treatment weighted (IPTW) analysis] was implemented to account rigorously for imbalances in prognostic variables between the treatment groups.

resultsWe included 120 patients of whom 48 received CVP. Thirty percent were female with a median age of 66 years [25th-75th percentile 54-75]. Eighty-eight percent of patients presented with severe acute respiratory failure as displayed by a median paO

Indexed as

Acute respiratory distress syndromeConvalescent plasmaCOVID-19ICUIntensive careRespiratory failure

Identifiers

PMID33978844
PMCPMC8114671
OpenAlexW3161384732

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.