MétaCan
Menu
Back to cohort
Record W2956862806 · doi:10.1177/2333794x19862462

Bacteremia in Diarrheal Children With Severe Pneumonia

2019· article· en· W2956862806 on OpenAlexfundno aff
Haimanti Saha, Lubaba Shahrin, Monira Sarmin, Tahmeed Ahmed, Mohammod Jobayer Chisti

Bibliographic record

VenueGlobal Pediatric Health · 2019
Typearticle
Languageen
FieldMedicine
TopicPneumonia and Respiratory Infections
Canadian institutionsnot available
FundersGlobal Affairs CanadaDepartment for International DevelopmentDepartment for International Development, UK GovernmentInternational Centre for Diarrhoeal Disease Research, BangladeshStyrelsen för Internationellt Utvecklingssamarbete
KeywordsMedicineDiarrheaPneumoniaBacteremiaEtiologyAntibioticsPediatricsBlood cultureIntensive care medicineInternal medicineMicrobiology

Abstract

fetched live from OpenAlex

Objectives. Diarrhea and pneumonia are the leading causes of under-5 childhood mortality. However, there is limited information on bacterial etiology of severe pneumonia in children with diarrhea. We analyzed bacterial pathogens from the blood of children under the age of 5 years. Methods. In this retrospective cross-sectional study, we studied all children having severe pneumonia with or without diarrhea admitted to the icddr,b (International Centre for Diarrheal Disease Research, Bangladesh) who had their blood culture done during January 2014 to December 2014. Results. Among a total of 159 study children, 118 had diarrhea. There were 13 bacterial isolates, and predominant organisms were gram-negative bacteria (11/13, 85%). Children with diarrhea coexisting with severe pneumonia proportionately had higher bacteremia (12/141 [10.16%] vs 1/41 [2.43%]), but the difference was not statistically insignificant ( P = .186). Conclusion. We recognized that the coexistence of diarrhea and severe pneumonia had proportionately higher bacteremia, especially gram-negative bacteria compared with those without diarrhea. The results emphasize the trend of bacterial etiology of pneumonia in children with diarrhea and may warrant revised antibiotics guideline for their management.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.620

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.006
GPT teacher head0.267
Teacher spread0.261 · 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

Citations5
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueGlobal Pediatric HealthSame topicPneumonia and Respiratory InfectionsFrench-language works237,207