Evidence map›Paper›PMID 40530390›Full record

ReviewCureus2025

Human Chorionic Gonadotropin as a Marker of Parathyroid Carcinoma: Findings From a Scoping Review.

Maxim J Barnett, Sarah Eidbo, Carlo Casipit, Justin Lam, Catherine Anastasopoulou

Abstract readReview
In one paragraph

Review in Cureus, 2025. 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
–field-weighted citation impact
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.

  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

5 authors.

Maxim J BarnettInternal Medicine, Jefferson Einstein Philadelphia Hospital, Philadelphia, USA.
Sarah EidboInternal Medicine, Jefferson Einstein Philadelphia Hospital, Philadelphia, USA.
Carlo CasipitInternal Medicine, Jefferson Einstein Philadelphia Hospital, Philadelphia, USA.
Justin LamInternal Medicine, Jefferson Einstein Philadelphia Hospital, Philadelphia, USA.
Catherine AnastasopoulouEndocrinology, Diabetes and Metabolism, Jefferson Einstein Philadelphia Hospital, Philadelphia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parathyroid carcinoma is an extremely uncommon cause of primary hyperparathyroidism; however, it is associated with excess morbidity and mortality. With the similarity in presentation from benign etiologies (such as an adenoma or hyperplasia), there is often a delay in diagnosis and initiation of treatment. Currently, there are no approved biomarkers to assist in the diagnosis of carcinoma. Over the last century, limited studies have investigated the role of human chorionic gonadotropin (hCG), particularly in its ability to differentiate cancerous from benign parathyroid disease. We performed a scoping review to analyze the existing literature regarding hCG (serum, urine, and histochemical staining) and its role in identifying malignant parathyroid disease. Across three databases and an endocrine abstract repertoire, we identified seven relevant articles meeting the prespecified inclusion criteria. We highlighted the normal physiology of hCG, alongside the pathophysiological expression and the rationale for its use as a biomarker for parathyroid cancer. Each article was analyzed, with emphasis on the methodologies, outcomes, and limitations. Although promising, the role of hCG as a biomarker has not been established due to heterogeneous methodologies and limited studies, which prohibit a firm conclusion. Further research (including larger prospective studies) is required to validate the role of hCG as a biomarker for parathyroid carcinoma.

Indexed as

beta-hcgbiomarker testinghcghuman chorionic gonadotropin (hcg)parathyroid cancer

Identifiers

PMID40530390
PMCPMC12170258

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Registered trials

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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.