Evidence map›Paper›PMID 37063748›Full record

ReviewPulmonary circulation2023

Pulmonary hypertension in patients with multiple myeloma: A comprehensive review.

Veeranna Maddipati, Pratyaksha Sankhyan, Durga P Goswami, Akhilesh Mahajan

Open access · goldAbstract readReview
In one paragraph

Review in Pulmonary circulation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. 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 2 institutions in 1 country.

Veeranna MaddipatiDivision of Pulmonary and Critical Care Medicine, Pulmonary Vascular Medicine East Carolina University Greenville North Carolina USA.ORCID 0000-0003-3412-5824
Pratyaksha SankhyanDivision of Pulmonary and Critical Care Medicine East Carolina University Greenville North Carolina USA.
Durga P GoswamiDepartment of Internal Medicine East Carolina University Greenville North Carolina USA.
Akhilesh MahajanLenox Hill Hospital New York New York USA.
East Carolina University · USLenox Hill Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma (MM) is a common hematological malignancy resulting from clonal proliferation of plasma cells and is defined by criteria set forth by the international myeloma working group. Pulmonary hypertension (PH) is defined by an elevated mean pulmonary artery pressure >20 mmHg measured during right heart catheterization. Echocardiography-diagnosed PH is relatively common in patients with MM and has been associated with increased mortality, morbidity, and poor stem cell transplant outcomes. PH in patients with MM (PH-MM) is usually multifactorial in origin. MM disease-specific factors, host comorbidities, and treatment-related adverse effects are the key factors for the development of PH-MM. Pragmatically, patients with PH-MM can be grouped into either (i) PH in patients with a new diagnosis of MM or (ii) PH that develops or worsens along the way of MM treatment. In the latter group, drug-induced PH, venous thromboembolism, pulmonary veno occlusive disease, and cardiotoxicity should be considered as possible causes. PH-MM should be evaluated and managed in a multidisciplinary setting. Select individuals with PH-MM could be considered for pulmonary vasodilators at PH-specialized centers.

Indexed as

chemotherapydrug inducedmultiple myelomapulmonary hypertensionpulmonary vasodilators

Identifiers

PMID37063748
PMCPMC10098295
OpenAlexW4324057237

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.