Evidence map›Paper›PMID 38389721›Full record

ArticleBMJ medicine2024

Effectiveness and cost effectiveness of pharmacological thromboprophylaxis for medical inpatients: decision analysis modelling study.

Sarah Davis, Steve Goodacre, Daniel Horner, Abdullah Pandor, Mark Holland, Kerstin de Wit, Beverley J Hunt, Xavier Luke Griffin

Open access · goldAbstract read
In one paragraph

Article in BMJ medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 5% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Observational
  8. 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 at 6 institutions in 2 countries.

Sarah DavisSheffield Centre for Health and Related Research, School of Medicine and Population Health, University of Sheffield, Sheffield, UK.ORCID 0000-0002-6609-4287
Steve GoodacreSheffield Centre for Health and Related Research, School of Medicine and Population Health, University of Sheffield, Sheffield, UK.ORCID 0000-0003-0803-8444
Daniel HornerSheffield Centre for Health and Related Research, School of Medicine and Population Health, University of Sheffield, Sheffield, UK.ORCID 0000-0002-0400-2017
Abdullah PandorSheffield Centre for Health and Related Research, School of Medicine and Population Health, University of Sheffield, Sheffield, UK.ORCID 0000-0003-2552-5260
Mark HollandSchool of Clinical and Biomedical Sciences, Faculty of Health and Wellbeing, University of Bolton, Bolton, UK.ORCID 0000-0001-8336-5336
Kerstin de WitDepartment of Emergency Medicine, Queen's University, Kingston, ON, Canada.ORCID 0000-0003-2763-6474
Beverley J HuntDepartment of Thrombosis & Haemostasis, Kings Healthcare Partners, London, UK.ORCID 0000-0002-4709-0774
Xavier Luke GriffinBarts Bone and Joint Health, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK.ORCID 0000-0003-2976-7523
University of Sheffield · GBKings Health Partners · GBQueen Mary University of London · GBQueen's University · CAUniversity of Greater Manchester · GBUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To determine the balance of costs, risks, and benefits for different thromboprophylaxis strategies for medical patients during hospital admission. Design: Decision analysis modelling study. Setting: NHS hospitals in England. Population: Eligible adult medical inpatients, excluding patients in critical care and pregnant women. Interventions: Pharmacological thromboprophylaxis (low molecular weight heparin) for all medical inpatients, thromboprophylaxis for none, and thromboprophylaxis given to higher risk inpatients according to risk assessment models (Padua, Caprini, IMPROVE, Intermountain, Kucher, Geneva, and Rothberg) previously validated in medical cohorts. Main outcome measures: Lifetime costs and quality adjusted life years (QALYs). Costs were assessed from the perspective of the NHS and Personal Social Services in England. Other outcomes assessed were incidence and treatment of venous thromboembolism, major bleeds including intracranial haemorrhage, chronic thromboembolic complications, and overall survival. Results: Offering thromboprophylaxis to all medical inpatients had a high probability (>99%) of being the most cost effective strategy (at a threshold of £20 000 (€23 440; $25 270) per QALY) in the probabilistic sensitivity analysis, when applying performance data from the Padua risk assessment model, which was typical of that observed across several risk assessment models in a medical inpatient cohort. Thromboprophylaxis for all medical inpatients was estimated to result in 0.0552 additional QALYs (95% credible interval 0.0209 to 0.1111) while generating cost savings of £28.44 (-£47 to £105) compared with thromboprophylaxis for none. No other risk assessment model was more cost effective than thromboprophylaxis for all medical inpatients when assessed in deterministic analysis. Risk based thromboprophylaxis was found to have a high (76.6%) probability of being the most cost effective strategy only when assuming a risk assessment model with very high sensitivity is available (sensitivity 99.9% and specificity 23.7% Conclusions: Offering pharmacological thromboprophylaxis to all eligible medical inpatients appears to be the most cost effective strategy. To be cost effective, any risk assessment model would need to have a very high sensitivity resulting in widespread thromboprophylaxis in all patients except those at the very lowest risk, who could potentially avoid prophylactic anticoagulation during their hospital stay.

Indexed as

AnticoagulantsEconomicsRisk managementThromboembolism

Identifiers

PMID38389721
PMCPMC10882286
OpenAlexW4392059303

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.