Evidence map›Paper›PMID 19657715›Full record

ArticleEuropean journal of epidemiology2009

The accuracy of discharge diagnosis coding for Amyotrophic Lateral Sclerosis in a large teaching hospital.

Federica Edith Pisa, Lorenzo Verriello, Laura Deroma, Daniela Drigo, Paolo Bergonzi, Gian Luigi Gigli, Fabio Barbone

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in European journal of epidemiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
1.0field-weighted citation impact, top 23% 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Severe head injury and amyotrophic lateral sclerosis.Amyotrophic lateral sclerosis & frontotemporal degeneration · 2013
    Trial
  5. Article
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  13. The use of US health insurance data for surveillance of rare disorders: hereditary hemorrhagic telangiectasia.Genetics in medicine : official journal of the American College of Medical Genetics · 2014
    Article
  14. Article
  15. The Rotterdam Study: 2012 objectives and design update.European journal of epidemiology · 2011
    Article
  16. Article
  17. New studies, technology, and the progress of epidemiology.European journal of epidemiology · 2010
    Article
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Federica Edith PisaInstitute of Hygiene and Epidemiology, DPMSC, Azienda Ospedaliero-Universitaria di Udine, Via Colugna 40, 33100, Udine, Italy. federica.pisa@uniud.it
Lorenzo Verriello
Laura Deroma
Daniela Drigo
Paolo Bergonzi
Gian Luigi Gigli
Fabio Barbone
University of Udine · ITOspedale Santa Maria della Misericordia di Udine · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate the accuracy of hospital discharge data as a source of Amyotrophic Lateral Sclerosis (ALS) cases for epidemiological studies or disease registries, a validation study was performed. All records of patients discharged in 2005 and 2006 with principal or secondary International Classification of Diseases, 9th rev., Clinical Modification (ICD 9 CM) diagnosis code of ALS (335.20), other anterior horn cell disease (335), spinal cord disease (336), hereditary and idiopathic peripheral neuropathy (356), inflammatory and toxic neuropathy (357), myoneural disorders (358), muscular dystrophies and myopathies (359), were selected from the electronic archive of discharge data of the University Hospital of Udine, Friuli Venezia Giulia Region, North East Italy. Corresponding clinical documentation was reviewed to ascertain the presence of El Escorial criteria, the gold standard. Sensitivity of the ICD 9 CM discharge code 335.20 was 93% (95%CI: 82-99%) and decreased to 91% (95%CI: 77-98%) when suspect ALS was excluded. Specificity was 99% (95%CI: 97-99%). The ICD 9 CM discharge code 335.20 can identify a high percentage of hospitalizations of patients truly affected by ALS and of patients with no ALS, among selected neurological diagnostic codes. To ensure complete ALS case ascertainment, prospective population-based registries or epidemiologic studies require active prospective surveillance and use of multiple sources, among them hospital discharge archives can provide accurate information.

Indexed as

Amyotrophic Lateral SclerosisForms and Records ControlHospitals, TeachingHumansInternational Classification of DiseasesItalyMedical RecordsPatient DischargePredictive Value of TestsRegistriesReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID19657715
OpenAlexW1973892845

What OpenQuestion holds

Textmetadata
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.