Evidence map›Paper›PMID 42836924›Full record

ArticleEndocrine2026

Optimizing adrenal vein sampling interpretation for primary aldosteronism subtyping.

Yuan Xiong, Shengjun Luo, Shili Peng, Ying Jing, Hang Shen, Xizi Zhang, Qinglian Zeng, Ying Song, Qianna Zhen, Yifan He and 7 more

Abstract read
PubMed Publisher
In one paragraph

Article in Endocrine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Yuan Xiong *Department of Endocrinology, Sichuan-Chongqing Joint Key Laboratory of Metabolic Vascular Diseases, Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
Shengjun Luo *Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Shili PengDepartment of Endocrinology, Sichuan-Chongqing Joint Key Laboratory of Metabolic Vascular Diseases, Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
Ying JingDepartment of Endocrinology, Sichuan-Chongqing Joint Key Laboratory of Metabolic Vascular Diseases, Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
Hang ShenDepartment of Endocrinology, Sichuan-Chongqing Joint Key Laboratory of Metabolic Vascular Diseases, Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
Xizi ZhangDepartment of Endocrinology, Sichuan-Chongqing Joint Key Laboratory of Metabolic Vascular Diseases, Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
Qinglian ZengDepartment of Endocrinology, Sichuan-Chongqing Joint Key Laboratory of Metabolic Vascular Diseases, Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
Ying SongDepartment of Endocrinology, Sichuan-Chongqing Joint Key Laboratory of Metabolic Vascular Diseases, Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
Qianna ZhenDepartment of Endocrinology, Sichuan-Chongqing Joint Key Laboratory of Metabolic Vascular Diseases, Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
Yifan HeDepartment of Endocrinology, Sichuan-Chongqing Joint Key Laboratory of Metabolic Vascular Diseases, Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
Wenwen HeDepartment of Endocrinology, Sichuan-Chongqing Joint Key Laboratory of Metabolic Vascular Diseases, Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
Qi ZhangDepartment of Endocrinology, Sichuan-Chongqing Joint Key Laboratory of Metabolic Vascular Diseases, Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
Jinbo HuDepartment of Endocrinology, Sichuan-Chongqing Joint Key Laboratory of Metabolic Vascular Diseases, Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
Linqiang MaDepartment of Endocrinology, Sichuan-Chongqing Joint Key Laboratory of Metabolic Vascular Diseases, Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
Qifu LiDepartment of Endocrinology, Sichuan-Chongqing Joint Key Laboratory of Metabolic Vascular Diseases, Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
Shumin YangDepartment of Endocrinology, Sichuan-Chongqing Joint Key Laboratory of Metabolic Vascular Diseases, Chongqing Key Laboratory of Translational Medicine in Major Metabolic Diseases, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China. 203737@hospital.cqmu.edu.cn.ORCID http://orcid.org/0000-0002-0238-4779
Chongqing Primary Aldosteronism Study (CONPASS) Group

Funding

China Postdoctoral Science Foundation 2025MD784154Chongqing Municipal Education Commission KJZD-K202500409Chongqing Municipal Science and Technology Bureau CSTB2024TIAD-KPX0039Chongqing Municipal Science and Technology Bureau CSTB2025TIAD-KPX0098Chongqing Postdoctoral Science Foundation 2024CQBSHTB2027National Natural Science Foundation of China 82500961Science Fund for Distinguished Young Scholars of Chongqing Municipality CSTB2023NSCQ-JQX0028
6 · The paper itself

Abstract

contextGuidelines recommend adrenal vein sampling (AVS) for subtyping primary aldosteronism (PA); however, the optimal sample for determining lateralization when multiple successful adrenal vein samples are obtained is unclear.

objectiveTo compare the impact of different adrenal vein sample-selection strategies on PA subtyping.

methodsA retrospective study was conducted in PA patients who underwent bilaterally successful AVS with multiple samples obtained from each adrenal vein. LI was calculated using four different sample-selection strategies: (1) Maximum Aldosterone (Max Aldo), the sample with the highest aldosterone concentration; (2) Maximum Cortisol (Max Cort), the sample with the highest cortisol concentration; (3) Maximum ACR (Max ACR), the sample with the highest aldosterone-to-cortisol ratio (ACR) across samples; (4) Mean ACR, the average ACR of all samples. The theoretical detection rate of unilateral PA (UPA) and diagnostic accuracy for PA subtyping were compared among the four strategies.

resultsA total of 585 patients with PA were included. In the 460 PA patients who underwent non-adrenocorticotropic hormone (ACTH)-stimulated AVS, the theoretical detection rate of UPA varied significantly among the four sample-selection strategies (P < 0.001), and was highest with Max Aldo (62.0%, 285/460), followed by Max ACR (59.1%, 272/460), Max Cort (57.8%, 266/460) and Mean ACR (56.3%, 259/460). Among 206 patients with postoperative diagnoses, the accuracy also differed significantly among the four strategies (P < 0.001), and Max Aldo ranked first (85.9%, 95% CI: 80.6%-90.1%), followed by Max ACR (84.0%, 95% CI: 78.4%-88.5%), Mean ACR (82.0%, 95% CI: 76.3%-86.8%), and Max Cort (78.2%, 95% CI: 72.0%-83.4%). Max Aldo was more accurate than Max Cort (adjusted P < 0.001), whereas no significant differences were observed between Max Aldo and Max ACR or Mean ACR (all adjusted P > 0.05). In the 308 patients who underwent ACTH-stimulated AVS, Max Aldo yielded the highest numerical detection rate and diagnostic accuracy; however, no significant differences were observed among the four strategies (P = 0.078 for theoretical UPA detection and P = 0.098 for diagnostic accuracy).

conclusionFor AVS with multiple samples, calculation of the LI based on the sample with the highest aldosterone concentration on each side tended to yield the highest numerical theoretical detection rate of UPA and accuracy, particularly in non-ACTH-stimulated AVS protocols.

Indexed as

Adrenal GlandsBlood Specimen CollectionHyperaldosteronismAdultAgedAldosteroneFemaleHumansHydrocortisoneMaleMiddle AgedRetrospective StudiesVeinsAldosteroneHydrocortisoneAdrenal vein samplingLateralization indexPrimary aldosteronismSubtyping

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.