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Record W2113627743 · doi:10.1158/1055-9965.epi-06-0792

Reproducibility of Serum Sex Steroid Assays in Men by RIA and Mass Spectrometry

2007· article· en· W2113627743 on OpenAlexafffund
Ann W. Hsing, Frank Z. Stanczyk, Alain Bélanger, Paul C. Schroeder, Lilly Chang, Roni T. Falk, Thomas R. Fears

Bibliographic record

VenueCancer Epidemiology Biomarkers & Prevention · 2007
Typearticle
Languageen
FieldMedicine
TopicHormonal and reproductive studies
Canadian institutionsUniversité Laval
FundersNational Cancer InstituteNational Institutes of HealthUniversité Laval
KeywordsEstroneChemistryChromatographySteroidAndrosteroneAndrostenedioneDihydrotestosteroneTestosterone (patch)GlucuronideEtiocholanoloneMass spectrometryGas chromatography–mass spectrometryCoefficient of variationAndrogenEndocrinologyMetaboliteHormoneBiochemistryMedicine

Abstract

fetched live from OpenAlex

There is an increasing trend to apply gas chromatography combined with mass spectrometry (GC-MS) or liquid chromatography tandem mass spectrometry (LC-MS/MS) assay methods to large-scale epidemiologic studies for the measurement of serum sex steroids. These methods are generally considered the gold standard for sex steroid measurements because of their accuracy, sensitivity, turnaround time, and ability to assess a more complete panel of steroid metabolites in the same run. In this report, we evaluated the precision, including within-batch (intra) and between-batch (inter) reproducibility, of steroid hormone measurements determined by GC-MS and LC-MS/MS assays and RIA and compared measurements among these methods. Specifically, 282 overnight fasting serum samples from 20 male volunteers were analyzed for 12 steroid metabolites by GC-MS or LC-MS/MS in one lab over a 4-month period. Six of the analytes were also measured by RIA in another lab. Unconjugated hormones, including testosterone, dihydrotestosterone, dehydroepiandrosterone, androstenedione, androst-5-ene-3beta,17beta-diol, estrone, and estradiol, were measured by GC-MS, whereas conjugated hormones, including DHEA sulfate, androsterone glucuronide, 5alpha-androstane-3alpha,17beta-diol 3-glucuronide, 5alpha-androstane-3alpha,17beta-diol 17-glucuronide, and estrone sulfate, were measured by LC-MS/MS. A subset of these hormones, including testosterone, dihydrotestosterone, androstenedione, 5alpha-androstane-3alpha,17beta-diol 17-glucuronide, estrone, and estradiol, were also measured by RIA following extraction and chromatography. We used the coefficient of variation (CV) and the intraclass correlation coefficient (ICC) to assess within- and between-batch assay variations. For the 12 analytes measured by GC-MS or LC-MS/MS, CVs and ICCs for within- and between-batch measurements were similar, with CVs ranging from 6.1% to 21.4% and ICCs ranging from 87.6% to 99.2%. The six analytes measured by RIA had good CVs and ICCs, with CVs <10% and ICCs >70% (range, 71.7-99.7%). For the six metabolites that were measured by both methods, the CVs were similar, whereas the ICCs were generally higher with the GC-MS method. The absolute values for each analyte measured by RIA and GC-MS differed, with RIAs usually yielding markedly higher levels than GC-MS, although the Pearson and Spearman correlation coefficients for these six analytes were near one and all were significant (P < 0.001). Our results show that RIA, GC-MS, and LC-MS/MS assays for androgens and estrogens in the two labs included in the study have good reproducibility, as measured by small CVs (<15%) and high ICCs (>80%), with the exception of estradiol (71.7%) when measured by RIA. Despite substantial differences in absolute measurements of sex steroid hormones by RIA and MS methods, correlations between the two assays for the six sex steroids measured in the two labs were high (>0.9). However, it is important for future large epidemiologic studies to incorporate MS with high reproducibility and specificity to measure a more complete profile of androgen and estrogen metabolites to clarify the role of sex steroids in prostate cancer.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.049
metaresearch head score (Gemma)0.046
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reproducibility · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.951
Threshold uncertainty score0.261

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0490.046
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.370
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designBench or experimental
DomainReproducibility
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations189
Published2007
Admission routes2
Has abstractyes

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