Evidence map›Paper›PMID 40642443›Full record

ArticleEJHaem2025

Coagulation and Transfusion Informatics in Chronic Liver Disease: A Data Linkage Study of Emergency Department Presentations.

Akmez Latona, Emma Smith, James Grant, Biswadev Mitra

Abstract read
In one paragraph

Article in EJHaem, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

4 authors.

Akmez LatonaEmergency Department Ipswich Hospital Ipswich Queensland Australia.ORCID https://orcid.org/0000-0003-4275-2588
Emma SmithData Analytics, Digital Services West Moreton Health Ipswich Queensland Australia.
James GrantOffice of the Chief Clinical Information Office eHealth Queensland Brisbane Queensland Australia.
Biswadev MitraSchool of Public Health and Preventive Medicine Monash University Melbourne Victoria Australia.ORCID https://orcid.org/0000-0002-0508-2450

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To describe the application of data linkage for analysing coagulation abnormalities and blood transfusion practices in patients with chronic liver disease (CLD) presenting to emergency departments (EDs). Methods: Patients with CLD presenting to 104 Queensland Health EDs (January 2016-August 2023) were identified using International Classification of Diseases codes. Phase 1 deterministically linked ED, admission, pathology, transfusion and death records using unique identifiers. Phase 2 used Structured Query Language (SQL) to capture transfusion timing. The model incorporated data from both digital and non-digitalised hospitals. Results: Phase 1 linkage identified 36,643 ED presentations, 443,367 admissions, 47,357 deaths, 3,004,236 pathology results and 140,687 blood transfusion events. Phase 2 identified 23,578 ED presentations by 11,961 patients, linked to 20,312 admissions, 921 deaths, 22,284 full blood counts (FBC), 19,408 coagulation profiles, 3068 blood gases, 457 rotational thromboelastometry (ROTEM) and 53 thromboelastography tests. Transfusion data were linked to 1616 presentations, including of 1358 red blood cell (RBC) transfusion episodes, 330 fresh frozen plasma, 324 cryoprecipitate, 418 platelets, 51 fibrinogen concentrate and 280 Prothrombinex-VF administration episodes. High linkage rates were achieved for FBC (99.4%), coagulation profile (97.6%) and biochemistry (92.3%), while linkages for blood gas (34.6%), ROTEM (13.8%) and thromboelastography (2.5%) were less frequent. Massive transfusions occurred in 27 presentations (≥ 4 RBC units in 4 h) and in 22 presentations (≥ 10 RBC units in 24 h), with 100% linkage for FBC and coagulation profiles in both groups. Conclusion: The feasibility of data linkage to investigate coagulation abnormalities and transfusion in CLD patients was demonstrated. This model provides a scalable method for haemovigilance and transfusion research. Trial registration: The authors have confirmed clinical trial registration is not needed for this submission.

Indexed as

bleedingcoagulationdata linkageEmergency Departmentliver diseasetransfusion

Identifiers

PMID40642443
PMCPMC12244256

What Socratic holds

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LicenceCC BY
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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.