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Short-Course vs Long-Course Antibiotic Therapy for Children With Nonsevere Community-Acquired Pneumonia

2022· review· en· W4308956014 on OpenAlexaff
Qinyuan Li, Qi Zhou, Iván D. Flórez, Joseph L. Mathew, Lianhan Shang, Guangli Zhang, Xiaoyin Tian, Zhou Fu, Enmei Liu, Zhengxiu Luo, Yaolong Chen

Bibliographic record

VenueJAMA Pediatrics · 2022
Typereview
Languageen
FieldMedicine
TopicPneumonia and Respiratory Infections
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicinePneumoniaShort courseAntibioticsCourse (navigation)Antibiotic therapyIntensive care medicineCommunity-acquired pneumoniaPediatricsInternal medicineMicrobiology

Abstract

fetched live from OpenAlex

Importance: Short-course antibiotic therapy could enhance adherence and reduce adverse drug effects and costs. However, based on sparse evidence, most guidelines recommend a longer course of antibiotics for nonsevere childhood community-acquired pneumonia (CAP). Objective: To determine whether a shorter course of antibiotics was noninferior to a longer course for childhood nonsevere CAP. Data Sources: MEDLINE, Embase, Web of Science, the Cochrane Library, and 3 Chinese databases from inception to March 31, 2022, as well as clinical trial registries and Google.com. Study Selection: Randomized clinical trials comparing a shorter- vs longer-course therapy using the same oral antibiotic for children with nonsevere CAP were included. Data Extraction and Synthesis: Random-effects models were used to pool the data, which were analyzed from April 15, 2022, to May 15, 2022. Grading of Recommendations Assessment, Development and Evaluation (GRADE) was used to rate the quality of the evidence. Main Outcomes and Measures: Treatment failure, defined by persistence of pneumonia or the new appearance of any general danger signs of CAP (eg, lethargy, unconsciousness, seizures, or inability to drink), elevated temperature (>38 °C) after completion of treatment, change of antibiotic, hospitalization, death, missing more than 3 study drug doses, loss to follow-up, or withdrawal of informed consent. Results: Nine randomized clinical trials including 11 143 participants were included in this meta-analysis. A total of 98% of the participants were aged 2 to 59 months, and 58% were male. Eight studies with 10 662 patients reported treatment failure. Treatment failure occurred in 12.8% vs 12.6% of participants randomized to a shorter vs a longer course of antibiotics. High-quality evidence showed that a shorter course of oral antibiotic was noninferior to a longer course with respect to treatment failure for children with nonsevere CAP (risk ratio, 1.01; 95% CI, 0.92-1.11; risk difference, 0.00; 95% CI, -0.01 to 0.01; I2 = 0%). A 3-day course of antibiotic treatment was noninferior to a 5-day course for the outcome of treatment failure (risk ratio, 1.01; 95% CI, 0.91-1.12; I2 = 0%), and a 5-day course was noninferior to a 10-day course (risk ratio, 0.87; 95% CI, 0.50-1.53; I2 = 0%). A shorter course of antibiotics was associated with fewer reports of gastroenteritis (risk ratio, 0.79; 95% CI, 0.66-0.95) and lower caregiver absenteeism (incident rate ratio, 0.74; 95% CI, 0.65-0.84). Conclusions and Relevance: Results of this meta-analysis suggest that a shorter course of antibiotics was noninferior to a longer course in children aged 2 to 59 months with nonsevere CAP. Clinicians should consider prescribing a shorter course of antibiotics for the management of pediatric nonsevere CAP.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.011
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.030
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0100.020
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.053
GPT teacher head0.345
Teacher spread0.292 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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".

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Citations45
Published2022
Admission routes1
Has abstractyes

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