Evidence map›Paper›PMID 34201922›Full record

ReviewBiology2021

A Critical Appraisal of Contemporary and Novel Biomarkers in Pheochromocytomas and Adrenocortical Tumors.

Marina Tsoli, Kosmas Daskalakis, Eva Kassi, Gregory Kaltsas, Apostolos V Tsolakis

Abstract readReview
In one paragraph

Review in Biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. 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

5 authors.

Marina Tsoli1st Department of Propaedeutic and Internal Medicine, Laiko University Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece.ORCID 0000-0002-6013-5893
Kosmas DaskalakisDepartment of Surgery, Faculty of Medicine and Health, Örebro University, 70185 Örebro, Sweden.ORCID 0000-0003-4224-8912
Eva Kassi1st Department of Propaedeutic and Internal Medicine, Laiko University Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece.
Gregory Kaltsas1st Department of Propaedeutic and Internal Medicine, Laiko University Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece.
Apostolos V TsolakisDepartment of Surgery and Centre for Clinical Research Uppsala University, Västmanland Hospital, 72189 Västerås, Sweden.ORCID 0000-0002-6784-5572

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pheochromocytomas/Paragangliomas (PPGLs) and adrenocortical tumors are rare neoplasms with significant heterogeneity in their biologic and clinical behavior. Current diagnostic and predictive biomarkers include hormone secretion, as well as histopathological and genetic features. PPGL diagnosis is based on biochemical measurement of catecholamines/metanephrines, while histopathological scoring systems have been proposed to predict the risk of malignancy. Adrenocortical tumors are mostly benign, but some can be malignant. Currently, the stage of disease at diagnosis and tumor grade, appear to be the most powerful prognostic factors. However, recent genomic and proteomic studies have identified new genetic and circulating biomarkers, including genes, immunohistochemical markers and micro-RNAs that display high specificity and sensitivity as diagnostic or prognostic tools. In addition, new molecular classifications have been proposed that divide adrenal tumors in distinct subgroups with different clinical outcomes.

Indexed as

chromogranin AgeneticKi-67metanephrinesmicro-RNAmolecular

Identifiers

PMID34201922
PMCPMC8301201

What Socratic 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 Socratic graph.