Evidence map›Paper›PMID 29383557›Full record

ArticleJournal of thrombosis and thrombolysis2018

Anemia and bleeding in patients receiving anticoagulant therapy for venous thromboembolism.

Amir Kuperman, Raquel López-Reyes, Lopez-Saez Juan Bosco, Alicia Lorenzo, Bascuñana José, Dominique Farge Bancel, María Alfonso, Marina Lumbierres, Galia Stemer, Manuel Monreal Bosch and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of thrombosis and thrombolysis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Incidence, risk factors, and management of bleeding in patients receiving anticoagulants for the treatment of cancer-associated thrombosis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. 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

12 authors.

Amir KupermanInstitute of Hematology, Galilee Medical Center, Nahariya, Israel.
Raquel López-ReyesDepartment of Pulmonology, University and Polytechnic LA FE Hospital, Valencia, Spain.
Lopez-Saez Juan BoscoDepartment of Internal Medicine, Hospital Universitario de Puerto Real, Cádiz, Spain.
Alicia LorenzoLaboratorio de Neuropatología Experimental, Instituto de Investigación Médica Mercedes y Martín Ferreyra, INIMEC-CONICET-Universidad Nacional de Córdoba, Córdoba, Argentina.
Bascuñana JoséDepartment of Internal Medicine, Hospital Infanta Leonor, Madrid, Spain.
Dominique Farge BancelDepartment of Internal Medicine and Pathology, Hôpital Saint-Louis, Avenue Claude Vellefaux, 1, 75010, Paris, France.
María AlfonsoDepartment of Pneumonology, Complejo Hospitalario de Navarra, Pamplona, Spain.
Marina LumbierresRespiratory Department, Arnau de Vilanova-Santa María University Hospital, IRB Lleida, Lleida, Catalonia, Spain.
Galia StemerInstitute of Hematology, Ha'Emek Medical Center, Afula, Israel.
Manuel Monreal BoschDepartment of Internal Medicine, Hospital Universitario Germans Trias i Pujol de Badalona, Universidad Católica de Murcia, Murcia, Spain.
Andrei BraesterInstitute of Hematology, Galilee Medical Center, Nahariya, Israel. andreib@gmc.gov.il.
RIETE Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In patients receiving anticoagulant therapy for venous thromboembolism (VTE), the important issue of anemia influence on the risk of bleeding has not been consistently studied. We used the large registry data RIETE (Registro Informatizado Enfermedad Tromboembólica) to compare the rate of major bleeding in patients receiving anticoagulant therapy for VTE according to the presence or absence of anemia at baseline. Patients with or without cancer were separately studied. Until August 2016, 63492 patients had been enrolled. Of these, 21652 (34%) had anemia and 14312 (23%) had cancer. Anemia was found in 57% of the patients with cancer and in 28% without (odds ratio 3.46; 95% CI 3.33-3.60). During the course of anticoagulant therapy, 680 patients with cancer had a major bleeding event (gastrointestinal tract 43%, intracranial 14%, hematoma 12%). Cancer patients with anemia had a higher rate of major bleeding (rate ratio [RR]: 2.52; 95% CI 2.14-2.97) and fatal bleeding (RR 2.73; 95% CI 1.95-3.86) than those without anemia. During the course of anticoagulation, 1133 patients without cancer had major bleeding (gastrointestinal tract 32%, hematoma 24%, intracranial 21%). Patients with anemia had a higher rate of major bleeding (RR 2.84; 95% CI 2.52-2.39) and fatal bleeding (RR 2.76; 95% CI 2.07-3.67) than those without. On a multivariable analysis, anemia independently predicted the risk for major bleeding in patients with and without cancer (hazard ratios: 1.66; 95% CI 1.40-1.96 and 1.95; 95% CI 1.72-2.20, respectively). During anticoagulation for VTE, both cancer- and non-cancer anemic patients had a higher risk for major bleeding than those without anemia. In anemic patients (with or without cancer), the rate of major bleeding during the course of anticoagulant therapy exceeded the rate of VTE recurrences. In patients without anemia the rate of major bleeding was lower than the rate of VTE recurrences.

Indexed as

AnemiaAnticoagulantsHemorrhageHumansNeoplasmsRegistriesRiskVenous ThromboembolismAnticoagulantsAnemiaAnticoagulant therapyCancerMajor bleedingVenous thromboembolism

Identifiers

What OpenQuestion 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 OpenQuestion graph.