Evidence map›Paper›PMID 34275048›Full record

ReviewAnnals of surgical oncology2021

Molecular Testing for Thyroid Nodules Including Its Interpretation and Use in Clinical Practice.

Snehal G Patel, Sally E Carty, Andrew J Lee

Abstract readReview
PubMed Publisher
In one paragraph

Review in Annals of surgical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 34 citations in OpenAlex.

  1. Molecular Diagnostics and [Thyroid : official journal of the American Thyroid Association · 2024
    Trial
  2. Article
  3. Review
  4. Article
  5. Observational
  6. Article
  7. Review
  8. Article
  9. Article
  10. 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

3 authors at 2 institutions in 1 country.

Snehal G PatelDepartment of Surgery, Division of General Surgery, Emory University, Atlanta, GA, USA.
Sally E CartyDepartment of Surgery, Division of Endocrine Surgery, University of Pittsburgh, Pittsburgh, PA, USA.
Andrew J LeeDepartment of Surgery, Division of Surgical Oncology, University of Pittsburgh, Pittsburgh, PA, USA. leeaj7@upmc.edu.ORCID http://orcid.org/0000-0002-9517-7671
University of Pittsburgh · USEmory University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite advances in imaging and biopsy techniques, the management of thyroid nodules often remains a diagnostic and clinical challenge. In particular, patients with cytologically indeterminate nodules often undergo diagnostic thyroidectomy although only a minority of patients are found to have thyroid malignancy on final pathology. More recently, several molecular testing platforms have been developed to improve the stratification of cancer risk for patients with cytologically indeterminate thyroid nodules. Based on numerous studies demonstrating its accuracy, molecular testing has been incorporated as an important diagnostic adjunct in the management of indeterminate thyroid nodules in the National Comprehensive Cancer Network Guidelines as well as in the American Thyroid Association (ATA) and American Association of Endocrine Surgeons (AAES) guidelines. This overview describes the currently available molecular testing platforms and highlights the published data to date on the clinical validity and utility of molecular testing in the contemporary management of thyroid nodules.

Indexed as

Thyroid NeoplasmsThyroid NoduleHumansMolecular Diagnostic TechniquesRetrospective StudiesThyroidectomyUnited States

Identifiers

PMID34275048
OpenAlexW3185758058

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.