Evidence map›Paper›PMID 25006395›Full record

ReviewPulmonary circulation2013

Interdisciplinary networks for the treatment of childhood pulmonary vascular disease: what pulmonary hypertension doctors can learn from pediatric oncologists.

Georg Hansmann

Open access · bronzeAbstract readReview
In one paragraph

Review in Pulmonary circulation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

0 citing papers in PubMed, 8 citations in OpenAlex.

No citing paper in PubMed yet.

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

1 author at 1 institution in 1 country.

Georg HansmannDepartment of Pediatric Cardiology and Critical Care, Hannover Medical School, Hannover, Germany.
Medizinische Hochschule Hannover · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pathobiology of pulmonary arterial hypertension (PAH) is complex and multifactorial. None of the current therapies has been shown to be universally effective or able to reverse advanced pulmonary vascular disease, characterized by plexiform vascular lesions, or to prevent right ventricular failure in advanced PAH. It is thus unlikely that only one factor, pathway, or gene mutation will explain all forms and cases. Pediatric oncologists recognized a need for intensified, collaborative research within their field more than 40 years ago and implemented major clinical and translational networks worldwide to achieve evidence-based "tailored therapies." The similarities in the pathobiology (e.g., increased proliferation and resistance to apoptosis in vascular cells and perivascular inflammation) and the uncertainties in the proper treatment of both cancer and pulmonary hypertension (PH) have led to the idea of building interdisciplinary networks among PH centers to achieve rapid translation of basic research findings, optimal diagnostic algorithms, and significant, sustained treatment results. Such networks leading to patient registries, clinical trials, drug development, and innovative, effective therapies are urgently needed for the care of children with PH. This article reviews the current status, limitations, and recent developments in the field of pediatric PH. It is suggested that the oncologists' exemplary networks, concepts, and results in the treatment of acute lymphoblastic leukemia are applicable to future networks and innovative therapies for pediatric pulmonary hypertensive vascular disease and right ventricular dysfunction.

Indexed as

childrenclinical trialneonatesnetworkpulmonary hypertensionvascular disease

Identifiers

PMID25006395
PMCPMC4070820
OpenAlexW1999957538

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.