Evidence map›Paper›PMID 39529569›Full record

ArticleAnnals of medicine2024

Preoperative total parathyroid volume is an independent marker to predict recurrence for secondary hyperparathyroidism.

Zhongkui Wang, Fuquan Zhang, Chengpei Zhu, Chunyue Wu, Xiangchao Meng, Xudong Wang

Abstract read
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Article in Annals of medicine, 2024. 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

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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

5 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

6 authors.

Zhongkui WangDepartment of Maxillofacial and Otorhinolaryngology Oncology, Tianjin Medical University Cancer Institute and Hospital, Key Laboratory of Basic and Translational Medicine on Head& Neck Cancer, Tianjin, Key Laboratory of Cancer Prevention and Therapy, Tianjin Cancer Institute, National Clinical Research Center of Cancer, Tianjin, China.
Fuquan ZhangDepartment of General Surgery, Tianjin Third Central Hospital, Tianjin, China.
Chengpei ZhuDepartment of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Chunyue WuDepartment of General Surgery, Tianjin Third Central Hospital, Tianjin, China.
Xiangchao MengDepartment of General Surgery, Tianjin Third Central Hospital, Tianjin, China.ORCID 0009-0005-4995-9356
Xudong WangDepartment of Maxillofacial and Otorhinolaryngology Oncology, Tianjin Medical University Cancer Institute and Hospital, Key Laboratory of Basic and Translational Medicine on Head& Neck Cancer, Tianjin, Key Laboratory of Cancer Prevention and Therapy, Tianjin Cancer Institute, National Clinical Research Center of Cancer, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to explore the value of preoperative total parathyroid volume (TPV) as a marker for predict recurrence of renal secondary hyperparathyroidism (SHPT).

methodsWe identified 28 patients with recurrence and 128 without recurrence who underwent total parathyroidectomy with autotransplantation (tPTX + AT) at our institution between 2015 and 2022. The TPV and postoperative recurrence information of the patients were recorded. Within the intergroup comparison, data obtained from the recurrence and non-recurrence groups were evaluated using the t-test. Univariate and multivariate analyses were performed according to the regression model to determine factors that were significant in predicting postoperative recurrence. The cutoff value of TPV was determined using a receiver operating characteristic (ROC) curve.

resultsThe mean TPV of recurrence and no-recurrence groups were 2.99 ± 1.52 cm

conclusionAccording to the data in this study, it can be said that TPV can be used to distinguish recurrence from no-recurrence. Most importantly, TPV can be used to identify SHPT recurrence.

Indexed as

Hyperparathyroidism, SecondaryParathyroidectomyParathyroid GlandsRecurrenceAdultBiomarkersFemaleHumansMaleMiddle AgedOrgan SizeParathyroid HormonePredictive Value of TestsPreoperative PeriodRetrospective StudiesROC CurveBiomarkersParathyroid HormonerecurrenceSecondary hyperparathyroidismtotal parathyroid volume

Identifiers

PMID39529569
PMCPMC11559028

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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.