Evidence map›Paper›PMID 35805976›Full record

ReviewInternational journal of molecular sciences2022

Immunohistochemical Profile of Parathyroid Tumours: A Comprehensive Review.

Romans Uljanovs, Stanislavs Sinkarevs, Boriss Strumfs, Liga Vidusa, Kristine Merkurjeva, Ilze Strumfa

Open access · goldAbstract readReview
In one paragraph

Review 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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
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  3. Review
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  5. Diagnosing the silent: the molecular landscape of non-functional parathyroid carcinoma.Virchows Archiv : an international journal of pathology · 2025
    Review
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  7. Article
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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

6 authors at 2 institutions in 1 country.

Romans UljanovsDepartment of Pathology, Riga Stradins University, LV-1007 Riga, Latvia.
Stanislavs SinkarevsDepartment of Pathology, Riga Stradins University, LV-1007 Riga, Latvia.
Boriss StrumfsDepartment of Pathology, Riga Stradins University, LV-1007 Riga, Latvia.
Liga VidusaDepartment of Pathology, Riga Stradins University, LV-1007 Riga, Latvia.
Kristine MerkurjevaDepartment of Pathology, Riga Stradins University, LV-1007 Riga, Latvia.
Ilze StrumfaDepartment of Pathology, Riga Stradins University, LV-1007 Riga, Latvia.ORCID 0000-0002-7393-9524
Riga Stradiņš University · LVLatvijas Organiskās Sintēzes Institūts · LV

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunohistochemistry remains an indispensable tool in diagnostic surgical pathology. In parathyroid tumours, it has four main applications: to detect (1) loss of parafibromin; (2) other manifestations of an aberrant immunophenotype hinting towards carcinoma; (3) histogenesis of a neck mass and (4) pathogenetic events, including features of tumour microenvironment and immune landscape. Parafibromin stain is mandatory to identify the new entity of parafibromin-deficient parathyroid neoplasm, defined in the WHO classification (2022). Loss of parafibromin indicates a greater probability of malignant course and should trigger the search for inherited or somatic

Indexed as

AdenomaCarcinomaParathyroid NeoplasmsHumansImmunohistochemistryTumor MicroenvironmentTumor Suppressor ProteinsTumor Suppressor Proteinsatypical parathyroid tumourcalcium-sensing receptorimmunohistochemistryKi-67multiglandular parathyroid diseasep27parafibrominparathyroid adenomaparathyroid carcinomatumour microenvironmentWHO classification

Identifiers

PMID35805976
PMCPMC9266566
OpenAlexW4283386145

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.