Evidence map›Paper›PMID 36258308›Full record

ArticleJournal of clinical laboratory analysis2022

Diagnostic value of total testosterone and free androgen index measured by LC-MS/MS for PCOS and insulin resistance.

Sujuan Xu, Yun Liu, Kai Xue, Xiaoguang Liu, Genmei Jia, Yu Zeng, Yajun Chen

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 15% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. The Plasma Glycome Differences Between Women with PCOS and Healthy Controls.International journal of molecular sciences · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
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 at 1 institution in 1 country.

Sujuan XuDepartment of Clinical Laboratory, Women's Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital), Nanjing, China.ORCID https://orcid.org/0000-0003-1862-7314
Yun LiuDepartment of Clinical Laboratory, Women's Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital), Nanjing, China.
Kai XueDepartment of Gynecology, Women's Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital), Nanjing, China.
Xiaoguang LiuDepartment of Gynecology, Women's Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital), Nanjing, China.
Genmei JiaNanjing Maternal and Child Health Institute, Women's Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital), Nanjing, China.ORCID https://orcid.org/0000-0002-1502-000X
Yu ZengDepartment of Clinical Laboratory, Women's Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital), Nanjing, China.ORCID https://orcid.org/0000-0002-9978-8883
Yajun ChenDepartment of Clinical Laboratory, Women's Hospital of Nanjing Medical University (Nanjing Maternity and Child Health Care Hospital), Nanjing, China.
Nanjing Maternity and Child Health Care Hospital · CN

Funding

Fund of Nanjing health and Health Committee YKK18161National Natural Science Foundation of China 81901446National Natural Science Foundation of China 81901555National Natural Science Foundation of China 81971351
6 · The paper itself

Abstract

backgroundThe objective of the study was to explore the clinical significance of steroid hormones in the diagnosis of PCOS and PCOS-related insulin resistance through liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS) and chemiluminescent immunoassay (CLIA).

methodsThe study included 114 patients with PCOS and 100 controls. Steroid hormone levels in serum were measured using LC-MS/MS and CLIA. The Bland-Altman method was used to check the consistency between the two methods. The diagnostic value of the LC-MS/MS method for female hyperandrogenemia and PCOS was evaluated.

resultsWomen with PCOS were younger than controls on average (p < 0.001). PCOS patients had higher luteal hormone (LH, p < 0.001), insulin (p = 0.002), estradiol (E2, p < 0.001), total testosterone (TT, p < 0.001), free androgen index (FAI, p = 0.021), dehydroepiandrosterone sulfate (DHEA, p = 0.021), insulin resistance index (HOMA-IR) (p = 0.034), and fasting glucose (p = 0.017) levels than controls as measured by CLIA. The diagnostic value of TT was the best, and the area under the AUC curve was 0.766. Women with PCOS had higher androstenedione (A2, p < 0.001), FAI (p < 0.001), TT (p < 0.001), and 17-hydroxyprogesterone (17-OHP, p < 0.001) levels than controls as measured by LC-MS/MS. The ROC curve showed that the diagnostic efficacy of A2, TT, and 17-OHP was 0.830, 0.851, and 0.714, respectively. The consistency of TT detected by LC-MS/MS and CLIA was poor according to the Bland-Altman method. Detected TT by LC-MS/MS had the highest diagnostic efficiency for PCOS. The diagnostic power of the LC-MS/MS results for PCOS-related insulin resistance was analyzed. The results showed that the FAI had the highest diagnostic power, with an ROC curve of 0.798.

conclusionLC-MS/MS is more sensitive and accurate than CLIA in the determination of serum TT and FAI. TT is more effective for the diagnosis of PCOS, whereas FAI is more valuable in the diagnosis of insulin resistance.

Indexed as

Insulin ResistancePolycystic Ovary SyndromeAndrogensChromatography, LiquidFemaleHumansInsulinSteroidsTandem Mass SpectrometryTestosteroneAndrogensInsulinSteroidsTestosteronediagnostic powerFAIinsulin resistancePCOSTT

Identifiers

PMID36258308
PMCPMC9701831
OpenAlexW4306830459

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.