Evidence map›Paper›PMID 33406279›Full record

ArticleClinical transplantation2021

Outcomes of COVID-19 in hospitalized solid organ transplant recipients compared to a matched cohort of non-transplant patients at a national healthcare system in the United States.

Arielle M Fisher, Daniel Schlauch, Matthew Mulloy, Ann Dao, Ashraf I Reyad, Mick Correll, Gregg J Fromell, James Pittman, Adam W Bingaman, Balamurugan Sankarapandian and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical transplantation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 4 pooled it
3.1field-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

38 citing papers in PubMed, 4 syntheses or guidelines pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Clinical outcome in solid organ transplant recipients affected by COVID-19 compared to general population: a systematic review and meta-analysis.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2022
    Pooled it
  3. COVID-19 and solid organ transplantation: Finding the right balance.Transplantation reviews (Orlando, Fla.) · 2022
    Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Article
  8. Acute SARS-CoV-2 infection.Nature reviews. Disease primers · 2025
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Outcomes following SARS-CoV-2 infection in individuals with and without solid organ transplantation-A Danish nationwide cohort study.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2022
    Article
  19. Review
  20. Efficacy and safety of mRNA SARS-CoV-2 vaccines in lung transplant recipients.Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy · 2022
    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

11 authors at 5 institutions in 1 country.

Arielle M FisherGenospace, Boston, MA, USA.
Daniel SchlauchGenospace, Boston, MA, USA.
Matthew MulloyMedical City Dallas, Dallas, TX, USA.
Ann DaoMedical City Fort Worth, Fort Worth, TX, USA.ORCID 0000-0003-3457-1568
Ashraf I ReyadMedical City Fort Worth, Fort Worth, TX, USA.ORCID 0000-0002-1128-928X
Mick CorrellGenospace, Boston, MA, USA.
Gregg J FromellSarah Cannon, Nashville, TN, USA.
James PittmanHCA Healthcare, Nashville, TN, USA.
Adam W BingamanMethodist Hospital Specialty and Transplant, San Antonio, TX, USA.
Balamurugan SankarapandianMedical City Fort Worth, Fort Worth, TX, USA.
Sridhar R AllamMedical City Fort Worth, Fort Worth, TX, USA.ORCID 0000-0001-6051-9443
Sarah Cannon · USHCA Healthcare · USJPS Health Network · USMedical City Dallas Hospital · USMethodist Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data describing outcomes of solid organ transplant (SOT) recipients with coronavirus disease 2019 (COVID-19) are variable, and the association between SOT status and mortality remains unclear. In this study, we compare clinical outcomes of SOT recipients hospitalized with COVID-19 between March 10, and September 1, 2020, to a matched cohort of non-SOT recipients at a national healthcare system in the United States (US). From a population of 43 461 hospitalized COVID-19-positive patients, we created a coarsened exact matched cohort of 4035 patients including 128 SOT recipients and 3907 weighted matched non-SOT controls. Multiple logistic regression was used to evaluate association between SOT status and clinical outcomes. Among the 4035 patients, median age was 60 years, 61.7% were male, 21.9% were Black/African American, and 50.8% identified as Hispanic/Latino ethnicity. Patients with a history of SOT were more likely to die within the study period when compared to matched non-SOT recipients (21.9% and 14.9%, respectively; odds ratio [OR] 1.93; 95% confidence interval [CI]: 1.18-3.15). Moreover, SOT status was associated with increased odds of receiving invasive mechanical ventilation (OR [95% CI]: 2.34 [1.51-3.65]), developing acute kidney injury (OR [95% CI]: 2.41 [1.59-3.65]), and receiving vasopressor support during hospitalization (OR [95% CI]: 2.14 [1.31-3.48]).

Indexed as

Organ TransplantationTransplant RecipientsAcute Kidney InjuryAgedCOVID-19Delivery of Health CareFemaleHumansMaleMiddle AgedRespiration, ArtificialUnited StatesCOVID-19outcomessolid organ transplant

Identifiers

PMID33406279
PMCPMC7883091
OpenAlexW3120153220

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.