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A Systematic and Meta-Analysis Study on the Prevalence of Tuberculosisand Relative Risk Factors for Prisoners in Iran

2021· review· en· W3200322037 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInfectious Disorders - Drug Targets · 2021
Typereview
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMeta-analysisTuberculosisIncidence (geometry)Forest plotPopulationRandom effects modelDemographyMEDLINERelative riskScopusConfidence intervalInternal medicineEnvironmental healthPathology

Abstract

fetched live from OpenAlex

Introduction: Tuberculosis (TB) is a serious infectious disease that affects human health globally. The incidence of TB in prisons is usually much higher than the general population in different countries. The aim of this study was to evaluate the incidence of TB among prisoners in Iran, estimating the relative risk factors by performing a systematic and meta-analysis study on the related articles. Methodology: Our systematic and meta-analysis study was performed according to the PRISMA guidelines. Two authors systematically searched Scopus, Iran doc, Cochrane, Pubmed, Medline, Embase, Iran medex, Magiran, SID, Google Scholar, and EBSCO. The quality assessment of articles was performed by using the Newcastle-Ottawa Scale. After article quality assessment, a fixed or random model, as appropriate, was used to pool the results in a meta-analysis. Heterogeneity between the studies was assessed using I-square and Q-test. Forest plots demonstrating the point and pooled estimates were drawn. Results: Overall, data from 19562 prisoners indicated 63 cases of TB. The prevalence of TB in prisoners was reported to range from 0.025% to 52% in eight studies. The highest prevalence of tuberculosis was related to the study of Rasht, 517 in 100,000, and the lowest rate was related to the study of Sought Khorasan, 25 in 100,000. The ES of the random effect model is 0.003 (95% CI, 0.001-0.005) and p-value <0.0001. The Higgins’ I2 of all studies is 86.55%, and the p-value of the Cochrane Q statistics is <0.001, indicating that there is heterogeneity. Based on the Egger regression plot (t=2.18, p = 0.08, CI 95%: -0.001, 0.005), no publication bias existed. Conclusion: According to the analysis findings, the frequency of tuberculosis among the prison in Iran was low. The highest prevalence obtained in our systematic study was 517 in 100,000 in Rasht, which was near the world statistics in the systematic review of world studies. Due to significant limitations in this study, it is not possible to indicate the exact prevalence of TB in prisons in Iran and compare this with the general population. However, more studies are needed to assess the related risk factors for designing health intervention plans to decrease the incidence rate of TB among prisoners.

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)0.003
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.356
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0080.003
Bibliometrics0.0010.001
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 head0.084
GPT teacher head0.387
Teacher spread0.303 · 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