Evidence map›Paper›PMID 34464352›Full record

ArticleThe Journal of clinical investigation2021

Convalescent plasma associates with reduced mortality and improved clinical trajectory in patients hospitalized with COVID-19.

Shanna A Arnold Egloff, Angela Junglen, Joseph Sa Restivo, Marjorie Wongskhaluang, Casey Martin, Pratik Doshi, Daniel Schlauch, Gregg Fromell, Lindsay E Sears, Mick Correll and 2 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in The Journal of clinical investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
3.0field-weighted citation impact, top 7% 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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 47 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Review
  7. Article
  8. Evidence for the Efficacy of COVID-19 Convalescent Plasma.Current topics in microbiology and immunology · 2025
    Review
  9. Estimates of actual and potential lives saved in the United States from the use of COVID-19 convalescent plasma.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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  12. Review
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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

12 authors at 2 institutions in 1 country.

Shanna A Arnold EgloffSarah Cannon, Nashville, Tennessee, USA.
Angela JunglenSarah Cannon, Nashville, Tennessee, USA.
Joseph Sa RestivoHCA Healthcare, HCA Research Institute (HRI), Nashville, Tennessee, USA.
Marjorie WongskhaluangHCA Healthcare, HCA Research Institute (HRI), Nashville, Tennessee, USA.
Casey MartinSarah Cannon, Nashville, Tennessee, USA.
Pratik DoshiSarah Cannon, Nashville, Tennessee, USA.
Daniel SchlauchSarah Cannon, Nashville, Tennessee, USA.
Gregg FromellSarah Cannon, Nashville, Tennessee, USA.
Lindsay E SearsSarah Cannon, Nashville, Tennessee, USA.
Mick CorrellSarah Cannon, Nashville, Tennessee, USA.
Howard A BurrisSarah Cannon, Nashville, Tennessee, USA.
Charles F LeMaistreSarah Cannon, Nashville, Tennessee, USA.
HCA Healthcare · USEOSPACE (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUNDEvidence supporting convalescent plasma (CP), one of the first investigational treatments for coronavirus disease 2019 (COVID-19), has been inconclusive, leading to conflicting recommendations. The primary objective was to perform a comparative effectiveness study of CP for all-cause, in-hospital mortality in patients with COVID-19.METHODSThe multicenter, electronic health records-based, retrospective study included 44,770 patients hospitalized with COVID-19 in one of 176 HCA Healthcare-affiliated community hospitals. Coarsened exact matching (1:k) was employed, resulting in a sample of 3774 CP and 10,687 comparison patients.RESULTSExamination of mortality using a shared frailty model, controlling for concomitant medications, date of admission, and days from admission to transfusion, demonstrated a significant association of CP with lower mortality risk relative to the comparison group (adjusted hazard ratio [aHR] = 0.71; 95% CI, 0.59-0.86; P < 0.001). Examination of patient risk trajectories, represented by 400 clinico-demographic features from our real-time risk model (RTRM), indicated that patients who received CP recovered more quickly. The stratification of days to transfusion revealed that CP within 3 days after admission, but not within 4 to 7 days, was associated with a significantly lower mortality risk (aHR = 0.53; 95% CI, 0.47-0.60; P < 0.001). CP serology level was inversely associated with mortality when controlling for its interaction with days to transfusion (HR = 0.998; 95% CI, 0.997-0.999; P = 0.013), yet it did not reach univariable significance.CONCLUSIONSThis large, diverse, multicenter cohort study demonstrated that CP, compared with matched controls, is significantly associated with reduced risk of in-hospital mortality. These observations highlight the utility of real-world evidence and suggest the need for further evaluation prior to abandoning CP as a viable therapy for COVID-19.FUNDINGThis research was supported in whole by HCA Healthcare and/or an HCA Healthcare-affiliated entity, including Sarah Cannon and Genospace.

Indexed as

SARS-CoV-2AdolescentAdultAgedAged, 80 and overCase-Control StudiesCohort StudiesCOVID-19COVID-19 SerotherapyEvidence-Based MedicineFemaleHospital MortalityHumansImmunization, PassiveMaleMiddle AgedBioinformaticsClinical practiceCOVID-19ImmunotherapyInfectious disease

Identifiers

PMID34464352
PMCPMC8516450
OpenAlexW3198585586

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.