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Record W2329951782 · doi:10.1016/j.gheart.2014.03.2216

PW077 Are higher levels of C reactive protein predictive of positive echocardiographic findings of infective endocarditis ?

2014· article· en· W2329951782 on OpenAlexaboutno aff
Abhishek Sengupta, S. Hillier, Emma Ivens, D. Platts, J. Sedgwick

Bibliographic record

VenueGlobal Heart · 2014
Typearticle
Languageen
FieldMedicine
TopicInfective Endocarditis Diagnosis and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEpidemiologyNew delhiTuberculosisPopulationSputumQuarter (Canadian coin)PediatricsDemographyEnvironmental healthInternal medicinePathologyGeography

Abstract

fetched live from OpenAlex

Burden of tuberculosis in India remains enormous. The Revised National Tuberculosis Control Programme (RNTCP), based on the Directly Observed Treatment Short course (DOTS) strategy, was launched in 1997 in India. The question of what DOTS has or has not accomplished over the past 15 years is a central technical question.To assess the decadal impact of DOTS strategy on some epidemiological factors such as age and gender of new sputum positive (NSP) TB patients in Delhi.Secondary Data for Delhi was obtained from the state wise performance of RNTCP (Annual Summary) for the year 2001 and year 2012. Data was analyzed in Microsoft Excel 2007.The population of Delhi covered under DOTS has considerably increased over the decade. The case detection rate has also shown a considerable increase from 196/100,000 population in 2001 to 306/100,000 population at the end of Quarter 3 of 2011. The number of NSP male and female patients have increased in all age groups from 2001 to 2011 except in 25–34 years age group. NSP male patients on DOTS aged 15–44 years showed a left ward shift in increase, a significant right ward shift was noted in increase in female NSP patients of similar age group.The decadal assessment of DOTS in Delhi on TB epidemiology has pointed towards beginning of epidemiological transition in TB control in India.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.265
Teacher spread0.254 · 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.

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

Citations0
Published2014
Admission routes1
Has abstractyes

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