Evidence map›Paper›PMID 18239937›Full record

ArticleVirchows Archiv : an international journal of pathology2008

A score based on microscopic criteria proposed for analysis of papillary carcinoma of the thyroid.

Priscilla Verhulst, Patrick Devos, Sébastien Aubert, David Buob, Isaac Cranshaw, Christine Do Cao, François Pattou, Bruno Carnaille, Jean-Louis Wemeau, Emmanuelle Leteurtre

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In one paragraph

Article in Virchows Archiv : an international journal of pathology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 9 citations in OpenAlex.

  1. 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

10 authors at 2 institutions in 1 country.

Priscilla VerhulstPôle Pathologie, Centre de Biologie Pathologie, CHR-U de Lille, 2 Avenue Oscar Lambret, 59037 Lille, France.
Patrick Devos
Sébastien Aubert
David Buob
Isaac Cranshaw
Christine Do Cao
François Pattou
Bruno Carnaille
Jean-Louis Wemeau
Emmanuelle Leteurtre
Université de Lille · FRCentre Hospitalier Universitaire de Lille · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Morphologic examination is the gold standard for diagnosing papillary thyroid carcinoma (PTC). This diagnosis, especially for the follicular variant, may be variable even among experts. Our objective was to analyze the frequency of PTC microscopic criteria in a series of thyroid tumors including follicular adenoma (FA) and PTC to build a score which could constitute a novel way for microscopic analysis of such thyroid tumors. Sixty-six PTC and 66 FA were matched for age, sex, and thyroiditis. Two independent observers delineated the classical PTC microscopic criteria. PTC microscopic criteria were variably expressed in individual tumors. Under univariate analysis, all criteria were significantly more frequent in PTC than in FA (p<0.05). Under multivariate analysis, the most important criteria were: dark staining colloid >25%, nuclear grooves, enlarged nuclei, ovoid nuclei >5% of tumor cells, and lack of polarization. Using linear discriminant analysis, these five criteria allowed us to build a scaled score. The score proposed did not allow the making of a definite distinction between FA and PTC in routine practice. It represents the variety of microscopic presentations of FA and PTC on the basis of a statistical analysis and could help in further evaluation of immunohistochemical or molecular markers.

Indexed as

AdultAgedCarcinoma, PapillaryDiagnosis, DifferentialFemaleHistocytochemistryHumansMaleMiddle AgedSeverity of Illness IndexThyroid GlandThyroid Neoplasms

Identifiers

PMID18239937
OpenAlexW2038331494

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.