Evidence map›Paper›PMID 38094553›Full record

ArticleCureus2023

Malignancy Rates in Thyroid Imaging Reporting and Data System Category 3 (TI-RADS 3) Thyroid Nodules: A Retrospective Study.

Renad AlSubaie, Abdullah Al Amer, Omar A Al Najjar, Kawthar Alali, Saleh Al Makhaytah, Mohammed Al Amer, Qasem M AlAlwan, Shaden S Almousa

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. 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
0.2field-weighted citation impact, top 39% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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 at 1 institution in 1 country.

Renad AlSubaieMedicine and Surgery, King Faisal University, Al Ahsa, SAU.
Abdullah Al AmerMedicine and Surgery, King Faisal University, Al Ahsa, SAU.
Omar A Al NajjarMedicine and Surgery, King Faisal University, Hofuf, SAU.
Kawthar AlaliMedicine and Surgery, King Faisal University, Al Ahsa, SAU.
Saleh Al MakhaytahMedicine and Surgery, King Faisal University, Al Ahsa, SAU.
Mohammed Al AmerOncology, Hamad Al-Jabr Oncology Center, Al Ahsa, SAU.
Qasem M AlAlwanDepartment of Radiology, King Fahd Hospital Hofuf, Al Hofuf, SAU.
Shaden S AlmousaMedical Imaging, King Faisal University, Al Ahsa, SAU.
Saad Specialist Hospital · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Thyroid cancer, one of the most frequently diagnosed endocrine malignancies, has witnessed a discernible global surge, predominantly among young adults. The etiological spectrum of thyroid cancer ranges from genetic mutations to environmental triggers. The early and precise detection of thyroid nodules (TNs) is crucial, given their latent potential for malignancy. Thyroid Imaging Reporting and Data System (TI-RADS) is an evidence-based stratification tool designed to standardize the assessment of TNs. Within this system, nodules categorized as TI-RADS 3 present an intermediate risk of malignancy, thereby necessitating meticulous evaluation. The objective of this study is to investigate the rates of cancer within thyroid nodules classified as TI-RADS 3, to determine the accuracy and effectiveness of the TI-RADS classification system in predicting malignancy at this intermediate-risk level, and to improve the diagnostic process and management strategies for these nodules. Methods A retrospective study was carried out on patients diagnosed with TI-RADS-3 thyroid nodules at King Fahad Hospital, Al-Hufof, between January 2019 and May 2023. Data were extracted from electronic medical records and encompassed patient demographics, and clinical and pathological details. Statistical analyses were performed using SPSS software version 27.0.1 (IBM Corp., Armonk, NY) examining the relationship between clinical characteristics and biopsy outcomes. Results The study involved 162 participants, mostly females (82.1%), with a median age of 43 years. Thyroid nodule analysis revealed 92.0% benign and 8.0% malignant cases, with the most common nodule size ranging from 2 to 2.4 cm. No significant correlation was found between clinical characteristics and biopsy results, indicating neither age nor gender significantly predicts malignancy in thyroid nodules within this cohort. Conclusion The majority of TI-RADS 3 nodules at King Fahad Hospital were benign. Yet, relying solely on TI-RADS for clinical decisions is not advised. An integrated approach, encompassing TI-RADS gradings and other nodule features, is essential for balanced patient management between intervention and observation.

Indexed as

malignancy rateoncologyradiologythyroid nodulesti-rads 3

Identifiers

PMID38094553
PMCPMC10716603
OpenAlexW4388636310

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Registered trials

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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.