Evidence map›Paper›PMID 36746545›Full record

Observational studyBMJ open2023

Accuracy of efficient data methods to determine the incidence of hospital-acquired thrombosis and major bleeding in medical and surgical inpatients: a multicentre observational cohort study in four UK hospitals.

Daniel Horner, Saleema Rex, Charles Reynard, Matthew Bursnall, Mike Bradburn, Kerstin de Wit, Steve Goodacre, Beverley J Hunt

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Observational
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

8 authors.

Daniel HornerEmergency Department, Northern Care Alliance NHS Foundation Trust, Salford, Manchester, UK daniel.horner@nca.nhs.uk.ORCID 0000-0002-0400-2017
Saleema RexSchool of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, UK.
Charles ReynardDivision of Cardiovascular Sciences, The University of Manchester, Manchester, UK.ORCID 0000-0002-7534-2668
Matthew BursnallSchool of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, UK.
Mike BradburnSchool of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, UK.ORCID 0000-0002-3783-9761
Kerstin de WitDepartment of Medicine, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0003-2763-6474
Steve GoodacreMedical Care Research Unit, University of Sheffield, Sheffield, UK.ORCID 0000-0003-0803-8444
Beverley J HuntKings Healthcare Partners & Thrombosis & Haemophilia Centre, Guy's and St Thomas' NHS Foundation Trust, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe evaluated the accuracy of using routine health service data to identify hospital-acquired thrombosis (HAT) and major bleeding events (MBE) compared with a reference standard of case note review.

designA multicentre observational cohort study.

settingFour acute hospitals in the UK.

participantsA consecutive unselective cohort of general medical and surgical patients requiring hospitalisation for a period of >24 hours during the calendar year 2021. We excluded paediatric, obstetric and critical care patients due to differential risk profiles.

interventionsWe compared preidentified sources of routinely collected information (using hospital coding data and local contractually mandated thrombosis datasets) to data extracted from case notes using a predesigned workflow methodology. PRIMARY AND SECONDARY OUTCOME MEASURES: We defined HAT as objectively confirmed venous thromboembolism occurring during hospital stay or within 90 days of discharge and MBE as per international consensus.

resultsWe were able to source all necessary routinely collected outcome data for 87% of 2008 case episodes reviewed. The sensitivity of hospital coding data (International Classification of Diseases 10th Revision, ICD-10) for the diagnosis of HAT and MBE was 62% (95% CI, 54 to 69) and 38% (95% CI, 27 to 50), respectively. Sensitivity improved to 81% (95% CI, 75 to 87) when using local thrombosis data sets.

conclusionsUsing routinely collected data appeared to miss a substantial proportion of outcome events, when compared with case note review. Our study suggests that currently available routine data collection methods in the UK are inadequate to support efficient study designs in venous thromboembolism research. TRIAL REGISTRATION NUMBER: NIHR127454.

Indexed as

ThrombosisVenous ThromboembolismAnticoagulantsChildCohort StudiesHemorrhageHospitalsHumansIncidenceInpatientsUnited KingdomAnticoagulantsanticoagulationrisk managementthromboembolism

Identifiers

PMID36746545
PMCPMC9906300

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Registered trials

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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.