Evidence map›Paper›PMID 25887596›Full record

SynthesisCritical care (London, England)2015

Validity of administrative data in recording sepsis: a systematic review.

Rachel J Jolley, Keri Jo Sawka, Dean W Yergens, Hude Quan, Nathalie Jetté, Christopher J Doig

Abstract readSystematic Review
In one paragraph

Synthesis in Critical care (London, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

114 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Validity of International Classification of Diseases Codes for Identifying Neuro-Ophthalmic Disease in Large Data Sets: A Systematic Review.Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society · 2020
    Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Differences in admission to trauma centres by sex among adults with traumatic brain injury: a population-based cohort study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

54 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.

Rachel J JolleyDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3rd Floor TRW Building, 3280 Hospital Drive NW, T2N 4Z6, Calgary, AB, Canada. rjjolley@ucalgary.ca.
Keri Jo SawkaDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3rd Floor TRW Building, 3280 Hospital Drive NW, T2N 4Z6, Calgary, AB, Canada. kjlsawka@ucalgary.ca.
Dean W YergensDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3rd Floor TRW Building, 3280 Hospital Drive NW, T2N 4Z6, Calgary, AB, Canada. dyergens@ucalgary.ca.
Hude QuanDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3rd Floor TRW Building, 3280 Hospital Drive NW, T2N 4Z6, Calgary, AB, Canada. hquan@ucalgary.ca.
Nathalie JettéDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3rd Floor TRW Building, 3280 Hospital Drive NW, T2N 4Z6, Calgary, AB, Canada. nathalie.jette@albertahealthservices.ca.
Christopher J DoigDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, 3rd Floor TRW Building, 3280 Hospital Drive NW, T2N 4Z6, Calgary, AB, Canada. cdoig@ucalgary.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAdministrative health data have been used to study sepsis in large population-based studies. The validity of these study findings depends largely on the quality of the administrative data source and the validity of the case definition used. We systematically reviewed the literature to assess the validity of case definitions of sepsis used with administrative data.

methodsEmbase and MEDLINE were searched for published articles with International Classification of Diseases (ICD) coded data used to define sepsis. Abstracts and full-text articles were reviewed in duplicate. Data were abstracted from all eligible full-text articles, including ICD-9- and/or ICD-10-based case definitions, sensitivity (Sn), specificity (Sp), positive predictive value (PPV) and negative predictive value (NPV).

resultsOf 2,317 individual studies identified, 12 full-text articles met all eligibility criteria. A total of 38 sepsis case definitions were tested, which included over 130 different ICD codes. The most common ICD-9 codes were 038.x, 790.7 and 995.92, and the most common ICD-10 codes were A40.x and A41.x. The PPV was reported in ten studies and ranged from 5.6% to 100%, with a median of 50%. Other tests of diagnostic accuracy were reported only in some studies. Sn ranged from 5.9% to 82.3%; Sp ranged from 78.3% to 100%; and NPV ranged from 62.1% to 99.7%.

conclusionsThe validity of administrative data in recording sepsis varied substantially across individual studies and ICD definitions. Our work may serve as a reference point for consensus towards an improved and harmonized ICD-coded definition of sepsis.

Indexed as

International Classification of DiseasesHumansPredictive Value of TestsSensitivity and SpecificitySepsis

Identifiers

PMID25887596
PMCPMC4403835

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.