Evidence map›Paper›PMID 32709122›Full record

ArticleJournal of clinical medicine2020

Diagnostic Value of Six Thyroid Imaging Reporting and Data Systems (TIRADS) in Cytologically Equivocal Thyroid Nodules.

Dorota Słowińska-Klencka, Kamila Wysocka-Konieczna, Mariusz Klencki, Bożena Popowicz

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
4.1field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Dorota Słowińska-KlenckaDepartment of Morphometry of Endocrine Glands, Medical University of Lodz, Pomorska Str 251, 92-213 Łódź, Poland.ORCID 0000-0002-5617-0418
Kamila Wysocka-KoniecznaDepartment of Morphometry of Endocrine Glands, Medical University of Lodz, Pomorska Str 251, 92-213 Łódź, Poland.ORCID 0000-0003-2980-5585
Mariusz KlenckiDepartment of Morphometry of Endocrine Glands, Medical University of Lodz, Pomorska Str 251, 92-213 Łódź, Poland.ORCID 0000-0002-4581-0897
Bożena PopowiczDepartment of Morphometry of Endocrine Glands, Medical University of Lodz, Pomorska Str 251, 92-213 Łódź, Poland.
Medical University of Lodz · PL

Funding

National Center for Research and Development (Poland) STRATEGMED2/267398/4/NCBR/2015
6 · The paper itself

Abstract

The aim was to compare the usefulness of selected thyroid sonographic risk-stratification systems in the diagnostics of nodules with indeterminate/suspicious cytology or unequivocal cytology in a population with a history of iodine deficiency. The diagnostic efficacy of ACR-TIRADS (the American College of Radiology Thyroid Imaging Reporting and Data Systems), EU-TIRADS (European Thyroid Association TIRADS), Korean-TIRADS, Kwak-TIRADS, AACE/ACE-AME-guidelines (American Association of Clinical Endocrinologists/ American College of Endocrinology-Associazione Medici Endocrinologi guidelines) and ATA-guidelines (American Thyroid Association guidelines) was evaluated in 1000 nodules with determined histopathological diagnosis: 329 FLUS/AUS (10.6% cancers), 167 SFN/SHT (11.6% cancers), 44 SM (77.3% cancers), 298 BL (benign lesions), 162 MN (malignant neoplasms). The percentage of PTC (papillary thyroid carcinoma) among cancers was higher in Bethesda MN (86.4%) and SM (suspicion of malignancy) nodules (91.2%) than in FLUS/AUS (57.1%,

Indexed as

FNAthyroid cancerthyroid ultrasonographyTIRADS

Identifiers

PMID32709122
PMCPMC7408998
OpenAlexW3042668462

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.