Evidence map›Paper›PMID 30879035›Full record

ArticleJAMA cardiology2019

Electronic Health Record Data Quality Issues Are Not Remedied by Increasing Granularity of Diagnosis Codes.

Ann Marie Navar

Abstract readEditorialComment
PubMed Publisher
In one paragraph

Article in JAMA cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. A case study in applying artificial intelligence-based named entity recognition to develop an automated ophthalmic disease registry.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2023
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Ann Marie NavarDuke Clinical Research Institute, Durham, North Carolina.

Funding

Preventing Cardiovascular Disease through Improved Risk Prediction and CommunicationK01HL133416 · NHLBI · DUKE UNIVERSITY · PI NAVAR, ANN MARIE · 2016 to 2020
$707k
NHLBI NIH HHS K01 HL133416
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Data AccuracyMyocardial InfarctionElectronic Health RecordsHumansInternational Classification of Diseases

Identifiers

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.