Evidence map›Paper›PMID 36233581›Full record

ReviewJournal of clinical medicine2022

Superiority of Direct Oral Anticoagulants over Vitamin K Antagonists in Oncological Patients with Atrial Fibrillation: Analysis of Efficacy and Safety Outcomes.

Iris Parrini, Fabiana Lucà, Carmelo Massimiliano Rao, Gianmarco Parise, Linda Renata Micali, Giuseppe Musumeci, Mark La Meir, Furio Colivicchi, Michele Massimo Gulizia, Sandro Gelsomino

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2022. 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
1.8field-weighted citation impact, top 14% 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, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
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  5. Review
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  8. Review
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

10 authors at 5 institutions in 2 countries.

Iris ParriniDivision of Cardiology, Mauriziano Hospital, 10128 Turin, Italy.ORCID 0000-0002-0038-9445
Fabiana LucàGrande Ospedale Metropolitano, 89124 Reggio Calabria, Italy.ORCID 0000-0002-5369-5382
Carmelo Massimiliano RaoGrande Ospedale Metropolitano, 89124 Reggio Calabria, Italy.
Gianmarco PariseDepartment of Cardiothoracic Surgery, Cardiovascular Research Institute, Maastricht University, 6211 LK Maastricht, The Netherlands.ORCID 0000-0002-9387-8714
Linda Renata MicaliDepartment of Cardiothoracic Surgery, Cardiovascular Research Institute, Maastricht University, 6211 LK Maastricht, The Netherlands.
Giuseppe MusumeciDivision of Cardiology, Mauriziano Hospital, 10128 Turin, Italy.
Mark La MeirUniversity Hospital Brussels, 1050 Brussels, Belgium.ORCID 0000-0002-6261-5110
Furio ColivicchiCardiology Unit, San Filippo Neri Hospital, 00135 Roma, Italy.ORCID 0000-0001-7187-2234
Michele Massimo GuliziaCardiology Division, Ospedale Garibaldi-Nesima, Azienda di Rilievo Nazionale e Alta Specializzazione "Garibaldi", 95126 Catania, Italy.
Sandro GelsominoDepartment of Cardiothoracic Surgery, Cardiovascular Research Institute, Maastricht University, 6211 LK Maastricht, The Netherlands.
Maastricht University · NLA. O. Ordine Mauriziano di Torino · ITUniversity of Reggio Calabria · ITOspedale Garibaldi · ITOspedale San Filippo Neri · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aim. Cancer and atrial fibrillation (AF) may be associated, and anticoagulation, either with vitamin K antagonists (VKAs) or direct oral anticoagulants (DOACs), is necessary to prevent thromboembolic events by reducing the risk of bleeding. The log incidence rate ratio (IRR) and 95% confidence interval were used as index statistics. Higgin’s I2 test was adopted to assess statistical inconsistencies by considering interstudy variations, defined by values ranging from 0 to 100%. I2 values of less than 40% are associated with very low heterogeneity among the studies; values between 40% and 75% indicate moderate heterogeneity, and those greater than 75% suggest severe heterogeneity. The aim of this meta-analysis was to compare the safety and efficacy of VKAs and DOACs in oncologic patients with AF. Methods. A meta-analysis was conducted comparing VKAs to DOACs in terms of thromboembolic events and bleeding. A meta-regression was conducted to investigate the differences in efficacy and safety between four different DOACs. Moreover, a sub-analysis on active-cancer-only patients was conducted. Results. A total of eight papers were included. The log incidence rate ratio (IRR) for thromboembolic events between the two groups was −0.69 (p < 0.005). The meta-regression did not reveal significant differences between the types of DOACs (p > 0.9). The Log IRR was −0.38 (p = 0.008) for ischemic stroke, −0.43 (p = 0.02) for myocardial infarction, −0.39 (p = 0.45) for arterial embolism, and −1.04 (p = 0.003) for venous thromboembolism. The log IRR for bleeding events was −0.43 (p < 0.005), and the meta-regression revealed no statistical difference (p = 0.7). The log IRR of hemorrhagic stroke, major bleeding, and clinically relevant non-major bleeding between the VKA and DOAC groups was −0.51 (p < 0.0001), −0.45 (p = 0.03), and 0.0045 (p = 0.97), respectively. Similar results were found in active-cancer patients for all the endpoints except for clinically-relevant non-major bleedings. Conclusions. DOACs showed better efficacy and safety outcomes than VKAs. No difference was found between types of DOACs.

Indexed as

atrial fibrillationcancerdirect oral anticoagulantsefficacysafetywarfarin

Identifiers

PMID36233581
PMCPMC9572823
OpenAlexW4297474340

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.