Evidence map›Paper›PMID 35806472›Full record

ArticleInternational journal of molecular sciences2022

Limited Accuracy of Pan-Trk Immunohistochemistry Screening for

Elisabetta Macerola, Agnese Proietti, Anello Marcello Poma, Paola Vignali, Rebecca Sparavelli, Alessandro Ginori, Alessio Basolo, Rossella Elisei, Ferruccio Santini, Fulvio Basolo

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 11 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

10 authors at 2 institutions in 1 country.

Elisabetta MacerolaDepartment of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-0235-799X
Agnese ProiettiDepartment of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, 56126 Pisa, Italy.
Anello Marcello PomaDepartment of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-0212-8249
Paola VignaliDepartment of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, 56126 Pisa, Italy.
Rebecca SparavelliDepartment of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, 56126 Pisa, Italy.
Alessandro GinoriPathology Unit, USL Toscana Nord-Ovest, 54033 Carrara, Italy.ORCID 0000-0003-2807-846X
Alessio BasoloDepartment of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0001-6888-7080
Rossella EliseiDepartment of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-5333-9257
Ferruccio SantiniDepartment of Clinical and Experimental Medicine, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-1706-0822
Fulvio BasoloDepartment of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0003-1657-5020
University of Pisa · ITAzienda Usl Toscana Centro · IT

Funding

University of Pisa No specific grant number
6 · The paper itself

Abstract

Patients with advanced thyroid cancer harboring

Indexed as

Adenocarcinoma, FollicularReceptor, trkAThyroid NeoplasmsBiomarkers, TumorGene RearrangementHumansImmunohistochemistryOncogene Proteins, FusionRetrospective StudiesBiomarkers, TumorOncogene Proteins, FusionReceptor, trkAimmunohistochemistryNTRKpan-Trkthyroid cancer

Identifiers

PMID35806472
PMCPMC9267555
OpenAlexW4283829564

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.