Observational studyBMC cancer2018
Cytoreductive treatment patterns among US veterans with polycythemia vera.
Observational study in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.
- Association of JAK2V617F allele burden and clinical correlates in polycythemia vera: a systematic review and meta-analysis.Annals of hematology · 2024Pooled it
- Clinical outcomes under hydroxyurea treatment in polycythemia vera: a systematic review and meta-analysis.Haematologica · 2019Pooled it
- Primary Arterial Hypertension and Drug-Induced Hypertension in Philadelphia-Negative Classical Myeloproliferative Neoplasms: A Systematic Review.Biomedicines · 2023Review
- Hematocrit levels and thrombotic events in patients with polycythemia vera: an analysis of Veterans Health Administration data.Annals of hematology · 2019Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPolycythemia vera (PV) is a myeloproliferative neoplasm associated with increased thrombotic and cardiovascular risk, which are key contributors to patient morbidity and mortality. The Veterans Health Administration (VHA) is the largest integrative health network in the United States. Available data concerning patients with PV in this population are limited.
methodsThis retrospective observational study evaluated the characteristics, management, and outcomes of patients with PV in the VHA Medical SAS® Dataset (October 1, 2005, to September 30, 2012). Inclusion criteria were ≥ 2 claims for PV (ie, PV diagnostic code was recorded) ≥30 days apart during the identification period, age ≥ 18 years, and continuous health plan enrollment from ≥12 months before the index date until the end of follow-up. All data were analyzed using descriptive statistics.
resultsThe analysis included 7718 patients (median age, 64 years; male, 98%; white, 64%). The most common comorbidities before the index date were hypertension (72%), dyslipidemia (54%), and diabetes (24%); 33% had a history of smoking. During the follow-up period (median, 4.8 years), most patients did not receive treatment with cytoreductive therapy, including phlebotomy (53%), or antiplatelet agents, such as aspirin (57%). The thrombotic and cardiovascular event rates per 1000 patient-years were 60.5 and 83.8, respectively. Among patients who received cytoreductive treatment, the thrombotic event rate was 48.9 per 1000 patient-years. The overall mortality rate was 51.2 per 1000 patient-years.
conclusionThe notable rates of thrombotic and cardiovascular events observed in this analysis, even among patients receiving cytoreductive treatment, highlight the important unmet clinical needs of patients with PV in the VHA.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.