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Antistaphylococcal immunoglobulins to prevent staphylococcal infection in very low birth weight infants

2009· review· en· W2149089083 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2009
Typereview
Languageen
FieldMedicine
TopicNeonatal and Maternal Infections
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineRelative riskLow birth weightCochrane LibraryNumber needed to treatRandomized controlled trialPediatricsMEDLINEMeta-analysisConfidence intervalRandomizationInternal medicinePregnancy

Abstract

fetched live from OpenAlex

BACKGROUND: Nosocomial infection is a major problem affecting the immediate health and long-term outcome of preterm and very low birth weight neonates. More than half of these infections are caused by staphylococci. Various type specific antibodies targeted at different antigenic markers of Staphylococcus have been developed and have shown promise in animal studies. OBJECTIVES: To evaluate the efficacy and safety of antistaphylococcal immunoglobulins in the prevention of Staphylococcal infection in very low birth weight infants. SEARCH STRATEGY: Medline, Embase, CINAHL, Cochrane Central Register of Controlled Trials (The Cochrane Library) were searched from their inception until February 2009. In addition, abstracts of major pediatric meetings of last seven years were searched. SELECTION CRITERIA: Randomized and quasi-randomized studies of antistaphylococcal immunoglobulins for the prevention of staphylococcal infections in preterm or very low birth weight neonates were reviewed by both authors for their eligibility for inclusion. Studies of any dose and/or route were included. Quality of studies was evaluated using criteria of masking of randomization, masking of intervention, completeness of follow-up and masking of outcome assessment by both review authors. DATA COLLECTION AND ANALYSIS: Data from the primary author were obtained where published data provided inadequate information for the review or where relevant data could not be abstracted. Data were abstracted independently by both review authors. Statistical methods included calculation of relative risk (RR), risk difference (RD), number needed to treat (NNT) and weighted mean difference (WMD) when appropriate. Ninety five percent confidence intervals (CI) was used for these estimates of treatment effects. A fixed effect model was used for meta-analyses. MAIN RESULTS: Three eligible studies were included (two studies of INH A-21 and one study of Altastaph involving a total of 2,701 neonates). Three reports of Pagibaximab were published as abstracts and will be considered for inclusion when further information is obtained. There were no significant differences noted in the risk of Staphylococcal infection between INH A-21 vs. placebo (typical RR 1.07, 95% CI 0.94, 1.22) or Altastaph vs. placebo (RR 0.86, 95% CI 0.32, 2.28); the risk of other bacterial infection between INH A-21 vs. placebo (typical RR 0.87, 95% CI 0.72, 1.06) or Altastaph vs. placebo (RR 0.93, 95% CI 0.53, 1.64); or the risk of any infection between INH A-21 vs. placebo (RR 1.00, 95% CI 0.91, 1.09) or Altastaph vs. placebo (RR 0.93, 95% CI 0.54, 1.62). There was no significant difference in the incidence of relevant secondary outcomes (chronic lung disease at 28 days, patent ductus arteriosus, necrotizing enterocolitis, intraventricular hemorrhage, retinopathy of prematurity or duration of antibiotic and vancomycin use). AUTHORS' CONCLUSIONS: Antistaphylococcal immunoglobulins (INH A-21 and Altastaph) are not recommended for prevention of staphylococcal infections in preterm or VLBW neonates. Further research to investigate the efficacy of other products such as Pagibaximab is needed.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.310
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0090.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.049
GPT teacher head0.364
Teacher spread0.315 · 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