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Record W2011196386 · doi:10.4236/ojpsych.2015.52018

Gender Differences in Serum Prolactin Levels in Drug Naïve First Episode Schizophrenia

2015· article· en· W2011196386 on OpenAlexaff
Amresh Shrivastava, Nilesh Shah, Avinash De Sousa, Sushma Sonavane

Bibliographic record

VenueOpen Journal of Psychiatry · 2015
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsLawson Health Research InstituteWestern University
Fundersnot available
KeywordsPsychopathologySchizophrenia (object-oriented programming)ProlactinDrug-naïvePositive and Negative Syndrome ScaleBrief Psychiatric Rating ScaleInternal medicineAntipsychoticPsychiatryPsychosisRating scaleMedicineRadioimmunoassayPsychologyDrugHormone

Abstract

fetched live from OpenAlex

Objective: To determine if there is a significant rise in serum prolactin (PRL) in acute psychosis related to disease process and weather there is a significant gender difference in the level of PRL and its correlation psychopathology. Procedure: Naturalistic study involved 60 consenting outpatients and inpatients in a tertiary psychiatric setting. Patient base was comprised of men (n = 30) and women (n = 30) with 83% in the age range of 21 - 40 years old. All subjects had confirmed first episode diagnosis set forth by the Diagnostic and Statistical Manual of Mental Disorders. Patients were drug free and drug na?ve. Standardization for control was done using 15 control PRL samples obtained from healthy individuals. Methodology involved assessment by radioimmunoassay, the Brief Psychiatric Rating Scale and the Positive and Negative Syndrome Scale at day 1, 3 weeks and again at 6 weeks. All patients were treated with atypical antipsychotic drugs. Results: Serum PRL was elevated on baseline in 75% of first episode psychosis schizophrenia, yet found to have a negative correlation to psychopathology at base week 3 and week 6 samples. Conclusions: Elevated serum PRL is not a potential indicator of acute schizophrenia. Levels are higher in females than in males, yet females respond better to treatment at a lower dose than males.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.073
GPT teacher head0.324
Teacher spread0.251 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
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

Citations1
Published2015
Admission routes1
Has abstractyes

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