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Record W1981410790 · doi:10.1016/j.juro.2015.01.037

Search for Microorganisms in Men with Urologic Chronic Pelvic Pain Syndrome: A Culture-Independent Analysis in the MAPP Research Network

2015· article· en· W1981410790 on OpenAlex
J. Curtis Nickel, Alisa Stephens, J. Richard Landis, Jun Chen, Chris Mullins, Adrie van Bokhoven, M. Scott Lucia, Rachael Kreft, Garth D. Ehrlich

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Urology · 2015
Typearticle
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsQueen's University
FundersNational Center for Advancing Translational SciencesNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institutes of Health
KeywordsMedicineBiostatisticsNothingLibrary scienceFamily medicineGerontologyEpidemiologyPathologyPhilosophy

Abstract

fetched live from OpenAlex

PURPOSE: We used next-generation, state-of-the-art, culture independent methodology to survey urine microbiota of males with urologic chronic pelvic pain syndrome and control participants enrolled in the MAPP Network to investigate a possible microbial etiology. MATERIALS AND METHODS: Male patients with urologic chronic pelvic pain syndrome and matched controls were asked to provide initial, midstream and post-prostatic massage urine specimens. Specimens were analyzed with Ibis T-5000 Universal Biosensor technology to provide comprehensive identification of bacterial and select fungal species. Differences between urologic chronic pelvic pain syndrome and control study participants for the presence of species or species variation in a higher taxonomic grouping (genus) were evaluated using permutational multivariate analysis of variance and logistic regression. RESULTS: Initial and midstream urine specimens were obtained from 110 (post-prostatic massage urine in 67) participants with urologic chronic pelvic pain syndrome and 115 (post-prostatic massage urine in 62) controls. Overall 78, 73 and 54 species (42, 39 and 27 genera) were detected in initial, midstream and post-prostatic massage urine specimens, respectively. Mean (SD) initial, midstream and post-prostatic massage urine species count per person was 1.62 (1.28), 1.38 (1.36) and 1.33 (1.24) for cases, and 1.75 (1.32), 1.23 (1.15) and 1.56 (0.97) for controls, respectively. Overall species and genus composition differed significantly between participants with urologic chronic pelvic pain syndrome and controls in initial stream urine (p=0.002 species level, p=0.004 genus level), with Burkholderia cenocepacia overrepresented in urologic chronic pelvic pain syndrome. No significant differences were observed at any level in midstream or post-prostatic massage urine samples. CONCLUSIONS: Assessment of baseline culture-independent microbiological data from male subjects enrolled in the MAPP Network has identified overrepresentation of B. cenocepacia in urologic chronic pelvic pain syndrome. Future studies are planned to further evaluate microbiota associations with variable and changing urologic chronic pelvic pain syndrome symptom patterns.

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.

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)0.037
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.214
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0370.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.060
GPT teacher head0.357
Teacher spread0.297 · 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