Evidence map›Paper›PMID 42278516›Full record

ArticleInternational journal of molecular sciences2026

Performance of Seven-Gene Panel Testing for Risk Stratification of Thyroid Nodules with Indeterminate Cytology Results.

Ann-Kristin Jochum, Frida Renström, Barbara Bischofberger-Baumann, Izadora Demmer, René Schönegg, Michael Brändle, Stefan Bilz, Wolfram Jochum

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Ann-Kristin JochumInstitute of Pathology, HOCH Health Ostschweiz, 9007 St. Gallen, Switzerland.ORCID 0000-0002-6981-1384
Frida RenströmDivision of Endocrinology and Diabetes, HOCH Health Ostschweiz, 9007 St. Gallen, Switzerland.ORCID 0000-0001-6053-298X
Barbara Bischofberger-BaumannDivision of Endocrinology and Diabetes, HOCH Health Ostschweiz, 9007 St. Gallen, Switzerland.ORCID 0009-0002-2844-1601
Izadora DemmerInstitute of Pathology, HOCH Health Ostschweiz, 9007 St. Gallen, Switzerland.
René SchöneggInstitute of Pathology, HOCH Health Ostschweiz, 9007 St. Gallen, Switzerland.
Michael BrändleDivision of General Internal Medicine, HOCH Health Ostschweiz, 9007 St. Gallen, Switzerland.
Stefan BilzDivision of Endocrinology and Diabetes, HOCH Health Ostschweiz, 9007 St. Gallen, Switzerland.
Wolfram JochumInstitute of Pathology, HOCH Health Ostschweiz, 9007 St. Gallen, Switzerland.ORCID 0000-0001-6170-2020

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Risk stratification of thyroid nodules is mainly based on ultrasound examination and fine-needle aspiration (FNA) cytology findings. Molecular testing has increasingly been added to the workup to improve risk of malignancy (ROM) estimation. Here, we evaluated the diagnostic performance of alterations in seven genes, including point mutations in

Indexed as

Thyroid NeoplasmsThyroid NoduleBiopsy, Fine-NeedleFemaleGTP PhosphohydrolasesHumansMaleMembrane ProteinsMutationOncogene Proteins, FusionPAX8 Transcription FactorPPAR gammaProto-Oncogene Proteins B-rafProto-Oncogene Proteins c-retProto-Oncogene Proteins p21(ras)Risk AssessmentBRAF protein, humanGTP PhosphohydrolasesHRAS protein, humanKRAS protein, humanMembrane ProteinsNRAS protein, humanOncogene Proteins, FusionPAX8 Transcription FactorPPAR gammaProto-Oncogene Proteins B-rafProto-Oncogene Proteins c-retProto-Oncogene Proteins p21(ras)fine-needle aspirationmolecular testingseven-gene panelthyroid cancerthyroid nodule

Identifiers

PMID42278516
PMCPMC13256701

What OpenQuestion holds

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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.