Evidence map›Paper›PMID 20626892›Full record

SynthesisCritical care (London, England)2010

Updating the evidence for the role of corticosteroids in severe sepsis and septic shock: a Bayesian meta-analytic perspective.

John L Moran, Petra L Graham, Sue Rockliff, Andrew D Bersten

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Critical care (London, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 15 pooled it
4.8field-weighted citation impact, top 4% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 15 syntheses or guidelines pooled it, 112 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Corticosteroids for treating sepsis in children and adults.The Cochrane database of systematic reviews · 2025
    Pooled it
  4. Pooled it
  5. Pooled it
  6. Corticosteroids for treating sepsis in children and adults.The Cochrane database of systematic reviews · 2019
    Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Pooled it
  12. Pooled it
  13. Pooled it
  14. Corticosteroids for treating sepsis.The Cochrane database of systematic reviews · 2015
    Pooled it
  15. Pooled it
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article
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

4 authors at 3 institutions in 1 country.

John L MoranDepartment of Intensive Care Medicine, The Queen Elizabeth Hospital, 28 Woodville Road, Woodville, South Australia 5011, Australia. john.moran@adelaide.edu.au
Petra L Graham
Sue Rockliff
Andrew D Bersten
Queen Elizabeth Hospital · AUFlinders University · AUMacquarie University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCurrent low (stress) dose corticosteroid regimens may have therapeutic advantage in severe sepsis and septic shock despite conflicting results from two landmark randomised controlled trials (RCT). We systematically reviewed the efficacy of corticosteroid therapy in severe sepsis and septic shock.

methodsRCTs were identified (1950-September 2008) by multiple data-base electronic search (MEDLINE via OVID, OVID PreMedline, OVID Embase, Cochrane Central Register of Controlled trials, Cochrane database of systematic reviews, Health Technology Assessment Database and Database of Abstracts of Reviews of Effects) and hand search of references, reviews and scientific society proceedings. Three investigators independently assessed trial inclusion and data extraction into standardised forms; differences resolved by consensus.

resultsCorticosteroid efficacy, compared with control, for hospital-mortality, proportion of patients experiencing shock-resolution, and infective and non-infective complications was assessed using Bayesian random-effects models; expressed as odds ratio (OR, (95% credible-interval)). Bayesian outcome probabilities were calculated as the probability (P) that OR ≥1. Fourteen RCTs were identified. High-dose (>1000 mg hydrocortisone (equivalent) per day) corticosteroid trials were associated with a null (n = 5; OR 0.91(0.31-1.25)) or higher (n = 4, OR 1.46(0.73-2.16), outlier excluded) mortality probability (P = 42.0% and 89.3%, respectively). Low-dose trials (<1000 mg hydrocortisone per day) were associated with a lower (n = 9, OR 0.80(0.40-1.39); n = 8 OR 0.71(0.37-1.10), outlier excluded) mortality probability (20.4% and 5.8%, respectively). OR for shock-resolution was increased in the low dose trials (n = 7; OR 1.20(1.07-4.55); P = 98.2%). Patient responsiveness to corticotrophin stimulation was non-determinant. A high probability of risk-related treatment efficacy (decrease in log-odds mortality with increased control arm risk) was identified by metaregression in the low dose trials (n = 9, slope coefficient -0.49(-1.14, 0.27); P = 92.2%). Odds of complications were not increased with corticosteroids.

conclusionsAlthough a null effect for mortality treatment efficacy of low dose corticosteroid therapy in severe sepsis and septic shock was not excluded, there remained a high probability of treatment efficacy, more so with outlier exclusion. Similarly, although a null effect was not excluded, advantageous effects of low dose steroids had a high probability of dependence upon patient underlying risk. Low dose steroid efficacy was not demonstrated in corticotrophin non-responders. Further large-scale trials appear mandated.

Indexed as

Adrenal Cortex HormonesBayes TheoremHumansSepsisShock, SepticTreatment OutcomeAdrenal Cortex Hormones

Identifiers

PMID20626892
PMCPMC2945102
OpenAlexW2131331953

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.