Evidence map›Paper›PMID 30072819›Full record

ReviewThe Clinical biochemist. Reviews2018

Genetic Testing in Endocrinology.

Sunita Mc De Sousa, Tristan Se Hardy, Hamish S Scott, David J Torpy

Abstract readReview
In one paragraph

Review in The Clinical biochemist. Reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. The GPCRDiabetologia · 2026
    Article
  2. Genetics of familial acromegaly and pituitary gigantism.The Journal of clinical endocrinology and metabolism · 2026
    Review
  3. Observational
  4. Article
  5. A Novel Germline Mutation ofInternational journal of molecular sciences · 2021
    Article
  6. Genetic testing in pediatric endocrine pathology.Medicine and pharmacy reports · 2021
    Article
  7. Review
  8. Article
  9. Search for Novel Mutational Targets in Human Endocrine Diseases.Endocrinology and metabolism (Seoul, Korea) · 2019
    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.

Sunita Mc De SousaEndocrine and Metabolic Unit, Royal Adelaide Hospital, Adelaide, Australia.
Tristan Se HardyDepartment of Genetics and Molecular Pathology, Centre for Cancer Biology, an SA Pathology and University of South Australia alliance, Adelaide, Australia.
Hamish S ScottSchool of Medicine, University of Adelaide, Adelaide, Australia.
David J TorpyEndocrine and Metabolic Unit, Royal Adelaide Hospital, Adelaide, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent genomic revolution, characterised by surges in the number of available genetic tests and known genetic associations, calls for improved genetic literacy amongst medical scientists and clinicians. This has been driven by next generation sequencing, a technology allowing multiple genes to be sequenced in parallel, thereby reducing the time and financial costs associated with genetic testing in both research and clinical settings. Endocrinology is an intuitive setting in which to consider the principles of genetic testing because endocrine disorders are due to defects in circumscribed pathways, providing clues to candidate genes. This article discusses genetic testing in contemporary endocrine practice with reference to examples of endocrine genetic disorders or multisystem genetic disorders with endocrine manifestations. Monogenic disorders are prioritised as these form the bulk of endocrine genetic disorders and the associated genetic testing is readily understandable, clinically available and practice-changing. Although it remains true that genetic testing should be embarked upon only if the result will alter management, the clinical utility of genetic testing is often underestimated and there are expanding indications for genetic testing across all areas of endocrinology.

Identifiers

PMID30072819
PMCPMC6069737

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.