Evidence map›Paper›PMID 38348302›Full record

ArticleJournal of the Endocrine Society2024

Ultrasound Features and Performance of Afirma Gene Sequencing Classifier in Cytologically Indeterminate Thyroid Nodules.

Irina Azaryan, Mayumi Endo, Jennifer A Sipos, Jianing Ma, Jing Peng, Fadi Nabhan

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Journal of the Endocrine Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Irina AzaryanDivision of Endocrinology, Diabetes and Metabolism, The Ohio State University and Arthur G. James Cancer Center, Columbus, OH 43210, USA.ORCID https://orcid.org/0000-0002-0720-1302
Mayumi EndoDivision of Endocrinology, Diabetes and Metabolism, The Ohio State University and Arthur G. James Cancer Center, Columbus, OH 43210, USA.
Jennifer A SiposDivision of Endocrinology, Diabetes and Metabolism, The Ohio State University and Arthur G. James Cancer Center, Columbus, OH 43210, USA.
Jianing MaCenter of Biostatistics and Bioinformatics, The Ohio State University, Columbus, OH 43210, USA.
Jing PengCenter of Biostatistics and Bioinformatics, The Ohio State University, Columbus, OH 43210, USA.
Fadi NabhanDivision of Endocrinology, Diabetes and Metabolism, The Ohio State University and Arthur G. James Cancer Center, Columbus, OH 43210, USA.
The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute · USThe Ohio State University · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cytologically indeterminate thyroid nodules (ITN) pose a management challenge. Here we analyze if adding ultrasound characteristics to Afirma Genome Sequence Classifier (GSC) results increases GSC diagnostic performance. Methods: We retrospectively analyzed 237 GSC-tested Bethesda III/IV ITNs between July 2017 and December 2019 and classified them by American Thyroid Association (ATA) and the Thyroid Imaging Reporting and Data System (TIRADS) of the American College of Radiology. Results: The benign call rate was higher in Bethesda III ITNs with TIRADS <5 vs TIRADS 5 (89% vs 68%. Conclusion: Sensitivity, specificity, NPV, and PPV of GSC were not significantly different in ATA high-risk and TIRADS 5 ITNs compared to ATA < high-risk and TIRADS 1-4 ITNs.

Indexed as

Afirma GSCmolecular testthyroid nodules

Identifiers

PMID38348302
PMCPMC10859306
OpenAlexW4391400892

What OpenQuestion 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 OpenQuestion graph.