Evidence map›Paper›PMID 41483311›Full record

ArticleLangenbeck's archives of surgery2026

Bilateral internal jugular vein (BIJV) sampling during surgery for primary hyperparathyroidism (PHPT) - scoping review of evidence and search for an optimal definition for lateralisation.

Varun Prakash, Nithilan Kamalakkannan, Saba P Balasubramanian

Abstract readScoping Review
In one paragraph

Article in Langenbeck's archives of surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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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

3 authors.

Varun PrakashUniversity of Newcastle Medical School, Newcastle upon Tyne, UK. varunpsheffield@gmail.com.ORCID http://orcid.org/0009-0009-3756-0478
Nithilan KamalakkannanMedical school, University of Sheffield, Sheffield, UK.
Saba P BalasubramanianSheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.ORCID http://orcid.org/0000-0001-5953-2843

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAccurate localisation of hyperfunctioning parathyroid glands is crucial for successful parathyroid surgery. In patients with inconclusive imaging, intraoperative bilateral internal jugular venous sampling (BIJVS) has been reported; but its utility remains unclear. The purpose of the review is to evaluate published techniques and reported effectiveness of BIJVS in parathyroid surgery.

methodsPubMed, Ovid and Cochrane databases were searched for articles on intraoperative BIJVS in parathyroid surgery. All original English language human studies reporting on lateralisation rates, diagnostic accuracy or cure rates following use of intraoperative BIJVS were included. Exclusion criteria included case reports, reviews, IJV sampling in non-parathyroid pathology and IJV sampling for confirming cure. Data on patient numbers, definitions used for lateralisation and correlation with clinical outcomes were extracted by one reviewer and cross-checked by a second reviewer. The review was prospectively registered on the Open Science Framework (OSF; DOI: https://doi.org/10.17605/OSF.IO/TSQA6 ).

resultsOf 753 screened, 12 studies including 502 patients where BIJVS was performed were included. Lateralisation definitions were reported in 7 studies. Among studies with relevant data, lateralisation gradient was defined as ranging from 5 to 20% and lateralisation rates varied from 51 to 100%. The positive and negative predictive values ranged from 76 to 100% (6 studies) and 0-53% respectively (3 studies). Reported cure rates following BIJVS guided surgery were high (> 98%), but the definition for cure was only reported in 8 studies.

conclusionsBIJVS can aid localisation in parathyroid surgery. A significant lateralisation gradient may permit unilateral surgery, but a lack of gradient does not imply bilateral disease. However, the absence of a standard definition for lateralisation and inconsistent reporting limits widespread adoption of this technique.

Indexed as

Hyperparathyroidism, PrimaryJugular VeinsParathyroidectomyParathyroid HormoneHumansParathyroid HormoneBIJVSParathyroid hormonePrimary hyperparathyroidismSurgery

Identifiers

PMID41483311
PMCPMC12816074

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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.