Evidence map›Paper›PMID 42313446›Full record

ArticleTransfusion2026

Trends in cryoprecipitate transfusion in the United States.

Ping Yang, Xianming Zhu, Eshan U Patel, Ruchika Goel, Steven M Frank, Herleen Rai, Evan M Bloch, M Kate Grabowski, David Daniel, Elizabeth P Crowe and 1 more

Abstract read
In one paragraph

Article in Transfusion, 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

11 authors.

Ping YangDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Xianming ZhuDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-3317-7449
Eshan U PatelDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Ruchika GoelDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0001-9653-9905
Steven M FrankDepartment of Anesthesiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0003-3533-3190
Herleen RaiDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0001-6072-6098
Evan M BlochDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0001-8181-9517
M Kate GrabowskiDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
David DanielDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0001-9670-1917
Elizabeth P CroweDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0003-1910-2800
Aaron A R TobianDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-0517-3766

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNational trends in cryoprecipitate transfusion and patient- and hospital-level factors associated with cryoprecipitate transfusion use among US hospitalizations are not well characterized. STUDY DESIGN AND

methodsThis descriptive study used the National Inpatient Sample (NIS) to estimate overall and sex-specific trends in cryoprecipitate transfusion from 2016 to 2022. Adult hospitalizations (≥18 years) receiving cryoprecipitate were included. The unit of analysis was the hospitalization record, and sampling weights were applied to produce nationally representative estimates. Factors associated with cryoprecipitate transfusion in 2022 were evaluated using multivariable Poisson regression.

resultsBetween 2016 and 2022, there were 205,075,194 weighted hospitalizations, of which 181,950 (0.089%) involved cryoprecipitate transfusion. The prevalence of cryoprecipitate transfusion increased significantly from 0.063% in 2016 to 0.110% in 2022. In multivariable analysis, cryoprecipitate transfusion was more likely among patients aged 60-70 years (vs. 18-30 years; adjusted prevalence ratio [adjPR] = 2.34 [95% confidence intervals (CI) = 2.03-2.70]). Transfusion was also associated with non-White patients, those from higher-income areas, elective admissions (vs. nonelective admissions; adjPR = 1.48 [95% CI = 1.32-1.66]), larger hospital bed size (vs. small; adjPR = 2.71 [95% CI = 2.14-3.43]), and in metropolitan teaching hospitals (vs. nonteaching; adjPR = 3.04 [95% CI = 2.50-3.69]). The prevalence of cryoprecipitate transfusion was lower among females (adjPR = 0.59 [95% CI = 0.55-0.62]), Medicare-covered hospitalizations (vs. Private; adjPR = 0.85 [95% CI = 0.78-0.93]), and admission to private investor-own hospitals (vs. government nonfederal hospitals; adjPR = 0.56 [95% CI = 0.36-0.87]). DISCUSSION: Cryoprecipitate transfusion among US hospitalizations increased from 2016 to 2022, reflecting evolving transfusion practices and the need for continued evaluation of fibrinogen replacement strategies and appropriate cryoprecipitate utilization.

Indexed as

Blood TransfusionFactor VIIIFibrinogenAdolescentAdultAgedFemaleHospitalizationHumansMaleMiddle AgedUnited StatesYoung Adultcryoprecipitate coagulumFactor VIIIFibrinogencryoprecipitatefibrinogenhospitalizationtransfusion

Identifiers

PMID42313446
PMCPMC13569363

What Socratic 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 Socratic graph.