Evidence map›Paper›PMID 20733044›Full record

SynthesisAntimicrobial agents and chemotherapy2010

Systematic review and meta-analysis of the efficacy of appropriate empiric antibiotic therapy for sepsis.

Mical Paul, Vered Shani, Eli Muchtar, Galia Kariv, Eyal Robenshtok, Leonard Leibovici

3 registry-linked trialsOpen access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Antimicrobial agents and chemotherapy, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 298 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
298citing papers in PubMed, 10 pooled it
14.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05239312 unknown statusnot on this mapstarted 2022, after this paper: background citation

Antibiogram and Biofilm Formation of Bacteria Causing Prosthetic Joint Infections Isolated From Assiut University Hospital

TypeobservationalSponsorAssiut UniversityRan2022 to 2024Enrolled90ConditionsProsthetic Joint InfectionArmsAntimicrobial
NCT05304221 unknown statusnot on this mapstarted 2023, after this paper: background citation

Prospective Validation of the "Shamir Resistance Calculator": an Interventional Crossover Trial to Improve Empiric Prescription of Antimicrobials in Acute Care Hospitals.

Typeobservational_patient_registrySponsorDror MarChaim, MDRan2023 to 2025Enrolled1,500ConditionsSepsisArmsShamir Resistance Calculator
NCT06069206 nacompletednot on this mapstarted 2023, after this paper: background citation

Effect of Direct-from-blood Bacterial Testing on Antibiotic Administration and Clinical Outcomes: A Learning Healthcare Pragmatic Randomized Trial

TypeinterventionalSponsorVanderbilt University Medical CenterRan2023 to 2025Enrolled500ConditionsBloodstream Infection, Sepsis Bacterial, MRSA Bacteremia, VancomycinArmsT2Bacteria® Panel (direct-from-blood testing), Usual Care
3 · Its place in the literature

Who cites it

298 citing papers in PubMed, 10 syntheses or guidelines pooled it, 715 citations in OpenAlex.

  1. [S3 guideline on sepsis-prevention, diagnosis, therapy, and follow-up care-update 2025].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2025
    Guideline
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Antibiotic regimens for early-onset neonatal sepsis.The Cochrane database of systematic reviews · 2021
    Pooled it
  6. Antibiotic regimens for late-onset neonatal sepsis.The Cochrane database of systematic reviews · 2021
    Pooled it
  7. Pooled it
  8. [S3 Guideline Sepsis-prevention, diagnosis, therapy, and aftercare : Long version].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2020
    Guideline
  9. Pooled it
  10. Pooled it
  11. Trial
  12. Trial
  13. Trial
  14. Trial
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

238 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Mical PaulUnit of Infectious Diseases, Rabin Medical Center, Beilinson Hospital, Petach Tikva, Israel. paulm@post.tau.ac.il
Vered Shani
Eli Muchtar
Galia Kariv
Eyal Robenshtok
Leonard Leibovici
Tel Aviv University · ILRabin Medical Center · ILOffice of Infectious Diseases · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantifying the benefit of early antibiotic treatment is crucial for decision making and can be assessed only in observational studies. We performed a systematic review of prospective studies reporting the effect of appropriate empirical antibiotic treatment on all-cause mortality among adult inpatients with sepsis. Two reviewers independently extracted data. Risk of bias was assessed using the Newcastle-Ottawa score. We calculated unadjusted odds ratios (ORs) with 95% confidence intervals for each study and extracted adjusted ORs, with variance, methods, and covariates being used for adjustment. ORs were pooled using random-effects meta-analysis. We examined the effects of methodological and clinical confounders on results through subgroup analysis or mixed-effect meta-regression. Seventy studies were included, of which 48 provided an adjusted OR for inappropriate empirical antibiotic treatment. Inappropriate empirical antibiotic treatment was associated with significantly higher mortality in the unadjusted and adjusted comparisons, with considerable heterogeneity occurring in both analyses (I(2) > 70%). Study design, time of mortality assessment, the reporting methods of the multivariable models, and the covariates used for adjustment were significantly associated with effect size. Septic shock was the only clinical variable significantly affecting results (it was associated with higher ORs). Studies adjusting for background conditions and sepsis severity reported a pooled adjusted OR of 1.60 (95% confidence interval = 1.37 to 1.86; 26 studies; number needed to treat to prevent one fatal outcome, 10 patients [95% confidence interval = 8 to 15]; I(2) = 46.3%) given 34% mortality with inappropriate empirical treatment. Appropriate empirical antibiotic treatment is associated with a significant reduction in all-cause mortality. However, the methods used in the observational studies significantly affect the effect size reported. Methods of observational studies assessing the effects of antibiotic treatment should be improved and standardized.

Indexed as

Anti-Bacterial AgentsHumansSepsisAnti-Bacterial Agents

Identifiers

PMID20733044
PMCPMC2976147
OpenAlexW2019349925

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.