Evidence map›Paper›PMID 40078519›Full record

ArticleClinical kidney journal2025

Preoperative localization of parathyroid glands in secondary hyperparathyroidism: correlations between 99mTc-MIBI-SPECT/CT, ultrasound, and pathological characteristics.

Binghan Li, Xiaoli Zhao, Sha Luo, Qi Zhong, Hanxue Zhao, Chengxiang Du, Guojuan Zhang

Abstract read
In one paragraph

Article in Clinical kidney journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Occult Parathyroid Lesions onBiomedicines · 2026
    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

7 authors.

Binghan LiDepartment of Nephrology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0009-0001-9788-7597
Xiaoli ZhaoDepartment of Pathology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Sha LuoDepartment of Nuclear Medicine, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Qi ZhongDepartment of Otorhinolaryngology - Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Hanxue ZhaoDepartment of Diagnostic Ultrasound, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Chengxiang DuEmory University Rollins School of Public Health, Atlanta, GA, USA.
Guojuan ZhangDepartment of Nephrology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0009-0009-9914-3629

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the association between imaging findings and histopathological characteristics of parathyroid glands in patients with secondary hyperparathyroidism (SHPT). Methods: Seventy-four glands from 21 patients with SHPT who underwent parathyroidectomy were evaluated for their pathological characteristics. The detection rates of parathyroid glands using ultrasound (US) and 99Tc-MIBI-SPECT/CT (MIBI) were compared. Glands were classified as either US-positive or US-negative, and MIBI-positive or MIBI-negative. Morphological and pathological differences between the positive and negative groups were systematically analysed. Results: The detection rates for parathyroid glands were 71% with US, 65% with MIBI, and 82% when combining both methods. US and MIBI showed similar localization accuracy in SHPT ( Conclusion: US and MIBI had similar value in preoperative localization of SHPT. Parathyroid glands with more and larger oxyphil nodules were more likely to be detected by both MIBI and US.

Indexed as

99Tc-MIBI-SPECT/CTchief celloxyphil cellsecondary hyperparathyroidismultrasound

Identifiers

PMID40078519
PMCPMC11897698

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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.