Long-term sequelae of Pneumococcal Sepsis in children: a systematic review
Bibliographic record
Abstract
ABSTRACT Background Long-term sequelae associated with pneumococcal sepsis (PS) in pediatric patients in existing literature is currently unclear. Aim To review the evidence on sequelae and prognostic factors associated with PS among pediatric patients. Method We conducted a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines. We screened six databases from their inception to January 15, 2021. Study population were neonates, infants, children and adolescents less than 18 years old with suspected or confirmed PS disease. Outcomes included sequelae types, prognostic factors, pooled death estimate and length of hospital stay (LOS) for survivors and deceased patients. Quality of studies was assessed using Joanna Briggs Institute appraisal checklists. Results We screened 981 abstracts, and 24 full-text articles for final review. Septic shock was the most prevalent physical sequelae reported (13%, n=1492 patients). No functional, cognitive or neurological sequelae were reported in included studies. Meta-analysis of pooled mortality estimate was 14.6% (95%CI: 9.9 −19.4%). Prognostic factors associated with increased risk of PS sequelae and death included pediatric risk of mortality score ≥ 10 and co-infection with meningitis. LOS for survivors and non-survivors ranged between 5-30 days and 1-30 days. Nine included studies met at least 50% of the quality assessment criteria. Conclusion Physical sequelae and death are the PS sequelae types currently identified in existing literature. Lack of information about other possible sequelae types suggests the long-term consequences of PS disease maybe underreported, especially in resource-limited settings. Future studies should consider exploring reasons for the existing of this knowledge gap.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.032 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.011 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".