ArticleNagoya journal of medical science2011
Immunocytochemical analysis for differential diagnosis of thyroid lesions using liquid-based cytology.
Article in Nagoya journal of medical science, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.
- An In-Depth Evaluation of CD15 Expression in Thyroid Carcinoma: A Comprehensive Systematic Review.Cancer reports (Hoboken, N.J.) · 2026Pooled it
- Systematic Review and Meta-Analysis to Identify the Immunocytochemical Markers Effective in Delineating Benign from Malignant Thyroid Lesions in FNAC Samples.Endocrine pathology · 2022Pooled it
- Fine-Needle Aspiration Cytology for Parotid Tumors.Life (Basel, Switzerland) · 2022Review
- Current methodologies for molecular screening of thyroid nodules.Gland surgery · 2018Review
- Diagnostic value of liquid-based cytology with fine needle aspiration specimens for cervical lymphadenopathy.Diagnostic cytopathology · 2016Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recently, liquid-based cytology (LBC) has been widely applied to various samples in diagnostic cytology and its usefulness has been reported. In this study, we investigated thyroid cytology that applied LBC and immunocytochemistry to achieve more objective diagnosis and greater diagnostic accuracy. This study included 125 cases (57 papillary carcinomas (PCs), 22 follicular tumors, 43 adenomatous goiters and 3 with Basedow's disease). After preparing the LBC slide, immunocytochemical staining was performed on each slide with six antibodies (HBME-1, cytokeratin 19 (CK19), high molecular weight cytokeratin (34JE12), galectin-3, CD15 and CA 19-9). All antibodies presented immunopositivity frequently in PCs, but only a few or some of them were positive in other cases. These antibodies were considered positive markers for PCs, and the most reliable marker was 34betaE12; its sensitivity, specificity and diagnostic accuracy were 82.5%, 100% and 92.0%, respectively. Relations of immunocytochemical profiles against these markers were assessed using panel 34betaE12, GAL-3 and CK19. More than or equal to two of these markers showed co-positive in 53 of 57 PCs, and negative for all markers was observed in only one case. In the other (non PC) cases, the former was 0 of 58 and the latter was 40 cases. In this panel, the sensitivity, specificity and diagnostic accuracy were 93.0%, 100% and 96.8%, respectively. All of these values were higher than or equal to single values of 34betaE12. We concluded that the panel in this study is useful for more objective and accurate diagnosis of thyroid cytology.
Indexed as
Identifiers
21614933PMC11254360W1490436980What OpenQuestion holds
Registered trials
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.