Evidence map›Paper›PMID 38525667›Full record

ArticleThe Journal of clinical endocrinology and metabolism2025

Predicting Tumor Volume in Primary Hyperparathyroidism From Preoperative Clinical Data.

Tomoyoshi Nakai, Kiyomi Horiuchi, Takahiro Okamoto

Abstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Association of preoperative risk factors with therapeutic outcomes in primary hyperparathyroidism: A multivariate analysis of imaging and PTH-Calcium-Phosphate metabolic parameters in 164 cases.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025
    Article
  5. Article
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Tomoyoshi NakaiDepartment of Endocrine Surgery, Tokyo Women's Medical University, Shinjuku-ku, Tokyo 162-8666, Japan.ORCID 0000-0002-2743-4816
Kiyomi HoriuchiDepartment of Endocrine Surgery, Tokyo Women's Medical University, Shinjuku-ku, Tokyo 162-8666, Japan.
Takahiro OkamotoDepartment of Endocrine Surgery, Tokyo Women's Medical University, Shinjuku-ku, Tokyo 162-8666, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextPrimary hyperparathyroidism (PHPT) is an endocrine disorder that is treated surgically, and some correlation between the size of the responsible lesion and preoperative clinical data is assumed.

objectiveThe purpose of this study was to predict tumor volume of the lesion responsible for PHPT from preoperative clinical data.

methodsParticipants comprised patients with surgically treated PHPT who underwent initial surgery in our department between January 2000 and December 2021. The volume of parathyroid gland removed was used as the primary outcome and associations with preoperative clinical data were assessed by multivariable analysis.

resultsA positive correlation was identified between parathyroid tumor volume and both preoperative intact parathyroid hormone (PTH) (Spearman's r = 0.503) and calcium values (Spearman's r = 0.338). Data for intact PTH value and tumor volume were logarithmically transformed (ln-PTH = log-transformed intact PTH value; ln-volume = log-transformed tumor volume). Multiple regression analysis revealed male sex, ln-PTH and calcium values as significant predictors of ln-volume, with standardized regression coefficients of 0.213 (95% CI 0.103-0.323), 0.5018 (95% CI 0.4442-0559), and 0.322 (95% CI 0.0339-0.149), respectively. The adjusted R2 for this model is 0.320.

conclusionPreoperative serum intact PTH value is associated with tumor volume of the lesion responsible for PHPT. A rough estimation of the tumor size would provide responsible physicians with opportunities to add further imaging tests or plan appropriate surgical strategies.

Indexed as

Hyperparathyroidism, PrimaryParathyroid NeoplasmsTumor BurdenAdultAgedCalciumFemaleHumansMaleMiddle AgedParathyroidectomyParathyroid GlandsParathyroid HormonePreoperative CarePreoperative PeriodPrognosisCalciumParathyroid Hormonecalciumparathyroid adenomaparathyroidectomyparathyroid hormoneprimary hyperparathyroidism

Identifiers

PMID38525667
PMCPMC11747749

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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.