Evidence map›Paper›PMID 34493250›Full record

ArticleBMC public health2021

Association between sepsis incidence and regional socioeconomic deprivation and health care capacity in Germany - an ecological study.

Norman Rose, Claudia Matthäus-Krämer, Daniel Schwarzkopf, André Scherag, Sebastian Born, Konrad Reinhart, Carolin Fleischmann-Struzek

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07167173 (Predictive Model for Multidrug Resistance in Patients Admitted to the Emergency Department With Sepsis), which is not on this map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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.

NCT07167173 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Predictive Model for Multidrug Resistance in Patients Admitted to the Emergency Department With Sepsis

TypeobservationalSponsorHospital Italiano de Buenos AiresRan2025 to 2025Enrolled10,000ConditionsSepsis, Septic Shock
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Population Sepsis Incidence, Mortality, and Trends in Hong Kong Between 2009 and 2018 Using Clinical and Administrative Data.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  6. Economic effects of next-generation sequencing diagnostics in unspecific sepsis patients - a budget impact analysis from the healthcare providers' perspective in Germany.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Challenges of assessing the burden of sepsis.Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2023
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. 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

7 authors at 2 institutions in 1 country.

Norman RoseCenter for Sepsis Control and Care, Jena University Hospital, Bachstraße 18, 07743, Jena, Germany.ORCID 0000-0002-2908-205X
Claudia Matthäus-KrämerCenter for Sepsis Control and Care, Jena University Hospital, Bachstraße 18, 07743, Jena, Germany.ORCID 0000-0002-6204-1006
Daniel SchwarzkopfInstitute of Infectious Diseases and Infection Control, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany.ORCID 0000-0002-1568-8202
André ScheragInstitute of Medical Statistics, Computer and Data Sciences, Jena University Hospital, Bachstraße 18, 07743, Jena, Germany.ORCID 0000-0002-9406-4704
Sebastian BornCenter for Sepsis Control and Care, Jena University Hospital, Bachstraße 18, 07743, Jena, Germany.ORCID 0000-0001-5803-7963
Konrad ReinhartDepartment of Anesthesiology and Intensive Care Medicine, Charité Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.ORCID 0000-0002-8012-6548
Carolin Fleischmann-StruzekCenter for Sepsis Control and Care, Jena University Hospital, Bachstraße 18, 07743, Jena, Germany. carolin.fleischmann@med.uni-jena.de.ORCID 0000-0002-1104-3191
Jena University Hospital · DECharité - Universitätsmedizin Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis is a substantial health care burden. Data on regional variation in sepsis incidence in Germany and any possible associations with regional socioeconomic deprivation and health care capacity is lacking.

methodsEcological study based on the nationwide hospital Diagnosis-related Groups (DRG) statistics data of 2016. We identified sepsis by ICD-10-codes and calculated crude and age-standardized incidence proportions in the 401 administrative German districts. Associations between socioeconomic and health care capacity indicators and crude and age-adjusted sepsis incidence were investigated by simple and multiple negative binomial (NB) regressions.

resultsIn 2016, sepsis incidence was 178 per 100,000 inhabitants and varied 10-fold between districts. We found that the rate of students leaving school without certificate was significantly associated with crude and age-standardized explicit sepsis incidence in the simple and multiple NB regressions. While we observed no evidence for an association to the capacity of hospital beds and general practitioners, the distance to the nearest pharmacy was associated with crude- and age-standardized sepsis incidence. In the multiple regression analyses, an increase of the mean distance + 1000 m was associated with an expected increase by 21.6 [95% CI, 10.1, 33.0] (p < 0.001), and 11.1 [95% CI, 1.0, 21.2]/100,000 population (p = .026) after adjusting for age differences between districts.

conclusionsResidence in districts with lower socioeconomic status (e.g., less education) and further distance to pharmacies are both associated with an increased sepsis incidence. This warrants further research with individual-level patient data to better model and understand such dependencies and to ultimately design public health interventions to address the burden of sepsis in Germany.

Indexed as

SepsisDelivery of Health CareGermanyHumansIncidenceSocial ClassEcological studyIncidenceMedical servicesSepsisSocioeconomic factors

Identifiers

PMID34493250
PMCPMC8424852
OpenAlexW3196353882

What OpenQuestion holds

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LicenceCC BY
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.