Evidence map›Paper›PMID 29333259›Full record

ReviewF1000Research2017

Predictors of outcome in phaeochromocytomas and paragangliomas.

Marlo Nicolas, Patricia Dahia

Registry-linked trialAbstract readReview
In one paragraph

Review in F1000Research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04788927 (Development of a Comprehensive Predictive Model for Risk of Metastatic Disease in PPGLs Based on a Combination of Clinical, Biochemical, Genetic, and Pathoanatomical Characteristics a Retrospective National Cohort Study), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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.

NCT04788927 not yet recruitingnot on this mapstarted 2023, after this paper: background citation

Development of a Comprehensive Predictive Model for Risk of Metastatic Disease in PPGLs Based on a Combination of Clinical, Biochemical, Genetic, and Pathoanatomical Characteristics a Retrospective National Cohort Study

TypeobservationalSponsorRigshospitalet, DenmarkRan2023 to 2027Enrolled400ConditionsParaganglioma, Pheochromocytoma, Genetic Predisposition to Disease, Pathology
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

2 authors.

Marlo NicolasUniversity of Texas (UT) Health Cancer Center, San Antonio, TX, USA.
Patricia DahiaUniversity of Texas (UT) Health Cancer Center, San Antonio, TX, USA.ORCID https://orcid.org/0000-0002-7757-370X

Funding

Interaction of the TMEM127 tumor suppressor with the mTORC1 lysosomal activating complexR01GM114102 · NIGMS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI DAHIA, PATRICIA LEAL · 2017 to 2021
$1.5M
NIGMS NIH HHS R01 GM114102
6 · The paper itself

Abstract

Phaeochromocytomas and paragangliomas (PPGLs) are catecholamine-secreting neuroendocrine tumours characterised by high rates of heritability and genetic heterogeneity. Despite advances in the genetic diagnosis and improved understanding of the molecular aberrations underlying these tumours, predictive markers of malignancy remain scarce, limiting the outlook of patients with metastatic PPGL. The identification of robust predictive markers remains the most pressing challenge in PPGL management, so that the potential of targeted therapy to impact patient care can be fully realised.

Indexed as

paragangliomapheochromocytomaprognostic predictionrisk factor

Identifiers

PMID29333259
PMCPMC5749134

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.