Evidence map›Paper›PMID 41348292›Full record

ArticleInfectious diseases and therapy2026

Impact of Risk Stacking on COVID-19-Related Healthcare Utilization: A Real-World Retrospective Cohort Study.

Frank R Ernst, Leah McGrath, Maya Reimbaeva, Laura E Choi, Irini Zografaki, Lili Jiang, Santiago M C Lopez, Mary M Moran, Laura Puzniak, Luis Jodar and 2 more

Abstract read
In one paragraph

Article in Infectious diseases and therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

12 authors.

Frank R ErnstPfizer Inc, Cincinnati, OH, USA. Frank.Ernst@Pfizer.com.ORCID http://orcid.org/0000-0001-6927-9765
Leah McGrathPfizer Inc, Raleigh-Durham, NC, USA.
Maya ReimbaevaPfizer Inc, Groton, CT, USA.
Laura E ChoiPfizer Inc, Collegeville, PA, USA.
Irini ZografakiPfizer Hellas S.A., Athens, Greece.
Lili JiangPfizer Canada ULC, North York, ON, Canada.
Santiago M C LopezPfizer Inc, New York, NY, USA.
Mary M MoranPfizer Inc, Collegeville, PA, USA.
Laura PuzniakPfizer Inc, St. Louis, MO, USA.
Luis JodarPfizer Inc, Collegeville, PA, USA.
Daniel CurcioPfizer S.L.U., Madrid, Spain. Daniel.Curcio@Pfizer.com.
Alejandro CanéPfizer Inc, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study evaluated the impact of "risk stacking" on COVID-19-related hospitalizations, emergency department/urgent care (ED/UC) visits, and outpatient visits among non-immunocompromised individuals aged 18-49 and 50-64 years compared with immunocompromised individuals and those ≥ 65 years.

methodsUsing Optum Clinformatics

resultsOverall (n = 10,631,427), the most prevalent conditions were hypertension (HTN; 47.4%), obesity/overweight (31.9%), chronic heart disease (CHD; 28.1%), and diabetes (DBT; 20.3%). COVID-19 HCRU was higher for CHD with DBT, CHD with obesity, and HTN with obesity than for immunocompromised individuals and highest among those aged ≥ 65 years. Multimorbidity across multiple HR categories resulted in greater adjusted risk for COVID-19 HCRU for all ages.

conclusionYounger adults with multiple non-immunocompromising comorbidities had greater risk of COVID-19-related HCRU than those with immunocompromising conditions or ≥ 65 years without multimorbidity. Stacking HR comorbidities increased the risk of HCRU. Ensuring broad vaccination and treatment recommendations and access is critical to mitigating severe COVID-19 in HR groups of any age.

Indexed as

ComorbidityCOVID-19Healthcare resource utilizationMultimorbiditySARS-CoV-2

Identifiers

PMID41348292
PMCPMC12783426

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.