Evidence map›Paper›PMID 39618295›Full record

ReviewHaematologica2024

Multimorbidity, comorbidity, frailty, and venous thromboembolism.

Bengt Zöller, Jean M Connors

Abstract readReview
In one paragraph

Review in Haematologica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Primary care diagnosed multimorbidity and risk of venous thromboembolism in Sweden.International journal of cardiology. Cardiovascular risk and prevention · 2026
    Article
  4. Review
  5. Article
  6. Multimorbidity and animal models.Animal models and experimental medicine · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

2 authors.

Bengt ZöllerCenter for Primary Health Care Research, Lund University/Region Skåne, Malmö. bengt.zoller@med.lu.se.
Jean M ConnorsHematology Division, Brigham and Women's Hospital, Boston, MA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multimorbidity, i.e., the presence of two or more long-term health conditions, is challenging for healthcare systems worldwide. A related term is comorbidity. This denotes any condition that has existed or may occur during the clinical course of a patient who has the index disease under study. Moreover, frailty is also inter-related with multimorbidity but represents a distinct clinical concept. Few studies have explored how multimorbidity and frailty are related to venous thromboembolism (VTE), though many studies have looked at how different comorbidities, especially cancer, affect the outcome of VTE. Recently, a graded association between multimorbidity and VTE has been described. Several multimorbidity disease clusters, such as cardiometabolic and psychiatric disorders, have been associated with VTE. The comorbidity burden, i.e., Charlson Comorbidity Index (CCI), has also been related to short-term mortality after VTE. VTE patients without comorbidities, i.e., CCI = 0, have less than 1% three months mortality. Frailty and CCI have been associated with postoperative risk of VTE. In this review, drivers of multimorbidity and VTE risk, disease networks, and disease trajectories will also be discussed. Further studies including multimorbidity and frailty as predictors for VTE in situations of risk could be of clinical importance. Moreover, it will also be important to determine which diseases should be included in a multimorbidity risk score for VTE.

Indexed as

FrailtyMultimorbidityVenous ThromboembolismComorbidityHumansRisk Factors

Identifiers

PMID39618295
PMCPMC11609784

What OpenQuestion holds

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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 OpenQuestion graph.