Evidence map›Paper›PMID 24453020›Full record

ArticlePharmacoepidemiology and drug safety2014

How complete are E-codes in commercial plan claims databases?

Christine Y Lu, Christine Stewart, Ameena T Ahmed, Brian K Ahmedani, Karen Coleman, Laurel A Copeland, Enid M Hunkeler, Matthew D Lakoma, Jeanne M Madden, Robert B Penfold and 3 more

Abstract readLetter
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–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

24 citing papers in PubMed.

  1. Trial
  2. Variation in completeness of coding external cause of injuries under ICD-10-CM.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2025
    Article
  3. Accuracy of ICD-10-CM encounter diagnoses from health records for identifying self-harm events.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  4. Article
  5. When Can We Trust Real-World Data To Evaluate New Medical Treatments?Clinical pharmacology and therapeutics · 2022
    Article
  6. Article
  7. Article
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  9. Reconciling Statistical and Clinicians' Predictions of Suicide Risk.Psychiatric services (Washington, D.C.) · 2021
    Article
  10. Imputation and characterization of uncoded self-harm in major mental illness using machine learning.Journal of the American Medical Informatics Association : JAMIA · 2020
    Article
  11. Selection of Clinical Text Features for Classifying Suicide Attempts.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020
    Article
  12. Article
  13. Article
  14. Article
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  16. Article
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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

13 authors.

Christine Y LuDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Christine Stewart
Ameena T Ahmed
Brian K Ahmedani
Karen Coleman
Laurel A Copeland
Enid M Hunkeler
Matthew D Lakoma
Jeanne M Madden
Robert B Penfold
Donna Rusinak
Fang Zhang
Stephen B Soumerai

Funding

SSRI's and SuicidalityU19MH092201 · NIMH · KAISER FOUNDATION RESEARCH INSTITUTE · PI SIMON, GREGORY E. · 2010 to 2018
$19.5M
NIMH NIH HHS U19 MH092201NIMH NIH HHS U19MH092201
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AlgorithmsClinical CodingDatabases, FactualHospitalizationHumansInternational Classification of DiseasesSuicide, Attempted

Identifiers

PMID24453020
PMCPMC4100538

What OpenQuestion holds

Textmetadata
LicenceTDM
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.