Evidence map›Paper›PMID 23844264›Full record

ArticleInternational journal of clinical and experimental medicine2013

Appropriate and accurate diagnosis of thyroid nodules: a review of thyroid fine-needle aspiration.

Catherine Hambleton, Emad Kandil

Abstract read
In one paragraph

Article in International journal of clinical and experimental medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Identification of Tissue-Specific DNA Methylation Signatures for Thyroid Nodule Diagnostics.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019
    Article
  10. Article
  11. Article
  12. Significance of CK19, TPO, and HBME-1 expression for diagnosis of papillary thyroid carcinoma.International journal of clinical and experimental medicine · 2015
    Article
  13. Article
  14. Article
  15. Article
  16. Predictors of non-diagnostic cytology in surgeon-performed ultrasound guided fine needle aspiration of thyroid nodules.Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale · 2014
    Article
  17. Observational
  18. Article
  19. Thyroid Disorders in the Oncology Patient.Journal of the advanced practitioner in oncology
    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

2 authors.

Catherine HambletonDepartment of Surgery, Tulane University School of Medicine New Orleans, LA, USA.
Emad Kandil

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thyroid nodules are clinically palpable in 4-7% of adults in the United States. With ultrasound examination, thyroid nodules are identified in up to 70% of adults. In asymptomatic individuals, the potential for malignancy underlies the clinical importance of investigating thyroid nodules. Increased diagnostic accuracy has improved non-operative management of benign thyroid lesions. Appropriate management of thyroid microcarcinoma and large nodules remains a topic of debate. False-negative FNA cytology remains a concern for clinicians treating patients with thyroid nodules. Due to the challenge of interpreting FNA cytology and recent changes to the cytopathologic classification system, we reviewed the current literature on diagnosis of thyroid nodules using the recent Bethesda criteria.

Indexed as

Bethesda criteriafine-needle aspirationthyroid cancerThyroid nodule

Identifiers

PMID23844264
PMCPMC3703111

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.