Evidence map›Paper›PMID 38087384›Full record

ReviewCardio-oncology (London, England)2023

Hypertension in Cardio-Oncology Clinic: an update on etiology, assessment, and management.

Amir Askarinejad, Azin Alizadehasl, Amir Ghaffari Jolfayi, Sara Adimi

Open access · goldAbstract readReview
In one paragraph

Review in Cardio-oncology (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

4 authors at 1 institution in 1 country.

Amir AskarinejadRajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, IR, Iran.
Azin AlizadehaslCardio-Oncology Research Center, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran. alizadeasl@gmail.com.
Amir Ghaffari JolfayiRajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, IR, Iran.
Sara AdimiCardio-Oncology Research Center, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.
Iran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension is one of the most common comorbidity and the leading cause of cancer-related death in cancer patients. The prevalence of hypertension in cancer patients is much higher than that of the general population. In the older population of cancer patients, specific cancer treatments such as new tyrosine kinase inhibitors and Vascular endothelial growth factor inhibitor drugs give rise to hypertension in cancer patients; The aim of present study is to provide a detailed discussion etiologies of cancer treatment-induced hypertension and explore the most innovative diagnostic and management approaches. This review will address the optimal approach to hypertension treatment, covering treatment initiation thresholds, targets, and the selection of anti-hypertensive agents. The lack of evidence in recent guidelines for managing cardiovascular toxicities in cancer patients can create uncertainty in clinicians' therapeutic and clinical decisions. This review aims to enhance our understanding of hypertension etiology in cancer patients and provide a practical guide to current treatment approaches.

Indexed as

Cardio-oncologyHypertensionTyrosine kinase inhibitorsVascular endothelial growth factor inhibitor

Identifiers

PMID38087384
PMCPMC10714546
OpenAlexW4389628310

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.