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Record W4211043650 · doi:10.21037/apm-21-3068

Knowledge domain and emerging trends in chronic prostatitis/chronic pelvic pain syndrome from 1970 to 2020: a scientometric analysis based on VOSviewer and CiteSpace

2022· article· en· W4211043650 on OpenAlexaboutno aff
Shengjing Liu, Qing-He Gao, Ying-Jun Deng, Yin Zen, Ming Zhao, Jun Guo

Bibliographic record

VenueAnnals of Palliative Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsnot available
FundersChina Academy of Chinese Medical SciencesNational Natural Science Foundation of China
KeywordsProstatitisMedicineLower urinary tract symptomsChronic prostatitis/chronic pelvic pain syndromeEtiologyIncidence (geometry)Internal medicineGynecologyProstateCancer

Abstract

fetched live from OpenAlex

BACKGROUND: Chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) is a common urological disease, and research on CP/CPPS has increased over the past 50 years. However, few studies have statistically analyzed these publications. In this work, we conducted the knowledge domain and highlighted current research hotspots and emerging trends in CP/CPPS from 1970 to 2020 based on VOSviewer and CiteSpace. METHODS: Relevant original articles were obtained from the Web of Science (WoS) database between 1970 and 2020. VOSviewer and CiteSpace software were used to perform the analysis and visualization of scientific productivity and emerging trends. RESULTS: Our results show that the articles related to CP/CPPS have dramatically increased every year from 1 publication in 1970 to 111 publications in 2020. The USA dominated the field in all countries, and Queen's University (Canada) has more extensive cooperating relationships with other institutions. J. Curtis Nickel may have a significant influence on CP/CPPS research with more publications and cocitations. The Journal of Urology is the foremost productive journal and has the most citations of all the journals. A total of 11 major clusters were explored based on the reference cocitation analysis (RCA). Definition, incidence rate or clinical characteristics, etiology or pathogenesis, epidemiological studies (cross-sectional study and cohort study), clinical studies (inflammation, pain, lower urinary tract symptoms (LUTS), α-blockers, antibiotic) and relationships with other diseases [benign prostatic hyperplasia (BPH), prostate cancer, sexual dysfunction] are the knowledge bases for CP/CPPS research. The treatment mode also changed gradually from anti-inflammatory therapy to symptom improvement, and NIH-CPSI was taken as the evaluation criterion. CONCLUSIONS: This scientometric study comprehensively reviewed publications related to CP/CPPS during the past 50 years using quantitative and qualitative methods, and the information provides some references for scholars to conduct further research on CP/CPPS.

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)0.007
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.921
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.047
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.003
Bibliometrics0.0790.070
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.066
GPT teacher head0.411
Teacher spread0.345 · 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 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

Citations20
Published2022
Admission routes1
Has abstractyes

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