Evidence map›Paper›PMID 20155360›Full record

ReviewEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2010

Thyroid incidentalomas: to treat or not to treat.

N G Iyer, Ashok R Shaha, Carl E Silver, Kenneth O Devaney, Alessandra Rinaldo, Phillip K Pellitteri, Alfio Ferlito

Abstract readReview
PubMed Publisher
In one paragraph

Review in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. The role of positron emission tomography and positron emission tomography/computed tomography in thyroid tumours: an overview.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2013
    Review
  9. Article
  10. Article
  11. Article
  12. 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

7 authors.

N G IyerHead and Neck Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
Ashok R Shaha
Carl E Silver
Kenneth O Devaney
Alessandra Rinaldo
Phillip K Pellitteri
Alfio Ferlito

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Incidental lesions of the thyroid gland are an increasing problem facing clinicians. While asymptomatic palpable lesions are detected in only 4-7% of the population, currently available imaging modalities are sensitive enough to detect lesions in 20-30% of the population. Guidelines for managing these incidentalomas are limited, largely due to lack of well-powered prospective studies. This review will address the currently available data on thyroid incidentalomas, detected through clinical examination, cross-sectional imaging, ultrasound, and PET scans. We will focus on the modalities of detection and risk of malignancy, further investigation and management options and the deficiencies therein. We propose a pragmatic algorithm when faced with this clinical dilemma under differing circumstances.

Indexed as

AlgorithmsDecision MakingDiagnosis, DifferentialDiagnostic ImagingHumansIncidental FindingsRisk FactorsThyroid Nodule

Identifiers

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.