Evidence map›Paper›PMID 37589814›Full record

ArticleEndocrine2024

Appropriate and mindful measurement of serum calcitonin in patients with thyroid nodules. A white paper.

Pierpaolo Trimboli, Pablo Valderrabano, Fabian Pitoia, Arnoldo Piccardo, Jörg Bojunga

Open access · hybridAbstract readConsensus Statement
In one paragraph

Article in Endocrine, 2024. 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
1.6field-weighted citation impact, top 15% 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, 8 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

5 authors at 5 institutions in 5 countries.

Pierpaolo TrimboliServizio di Endocrinologia e Diabetologia, Ente Ospedaliero Cantonale (EOC), Lugano, Switzerland. pierpaolo.trimboli@eoc.ch.ORCID 0000-0002-2125-4937
Pablo ValderrabanoDepartment of Endocrinology and Nutrition, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain.
Fabian PitoiaHospital de Clínicas José de San Martín-University of Buenos Aires, Buenos Aires, Argentina.
Arnoldo PiccardoDepartment of Nuclear Medicine, E.O. "Ospedali Galliera", Genoa, Italy.
Jörg BojungaDepartment of Internal Medicine 1, Goethe University Hospital Frankfurt, Goethe-University, Frankfurt am Main, Germany.
Ente Ospedaliero Cantonale · CHEnte Ospedaliero Ospedali Galliera · ITGoethe University Frankfurt · DEInstituto Ramón y Cajal de Investigación Sanitaria · ESUniversidad de Buenos Aires · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medullary thyroid carcinoma (MTC) is an infrequent thyroid malignancy that is often diagnosed at advanced stage with consequent poor prognosis. Thus, the earlier the diagnosis of MTC, the better the prognosis. Unfortunately, the preoperative detection of MTC remains challenging in clinical practice. In fact, while ultrasound and fine-needle aspiration cytology have suboptimal performance in this context, measuring serum calcitonin (Ctn), fully recognized as the most reliable test to detect MTC, is not universally accepted as routine test in all patients with thyroid nodule(s). The authors of this paper reappraise critically the matter of Ctn measurement in view of the recent advancements in the literature to point out the essential information to be known, and then to prepare an easy-to-use guide for clinicians to appropriately consider the measurement of serum Ctn during clinical practice.

Indexed as

Carcinoma, NeuroendocrineThyroid NeoplasmsThyroid NoduleCalcitoninHumansCalcitoninCalcitoninMedullary thyroid carcinomaThyroid nodule

Identifiers

PMID37589814
PMCPMC10806050
OpenAlexW4385898127

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.