Evidence map›Paper›PMID 36744084›Full record

ArticleJournal of healthcare informatics research2022

Robustness of Multiple Imputation Methods for Missing Risk Factor Data from Electronic Medical Records for Observational Studies.

Sanjoy K Paul, Joanna Ling, Mayukh Samanta, Olga Montvida

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of healthcare informatics research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Nasotemporal Asymmetry in Ocular Biometry as a Biomarker for Myopia Progression in Chinese Children.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
    Article
  2. Review
  3. 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

4 authors at 2 institutions in 1 country.

Sanjoy K PaulMelbourne EpiCentre, University of Melbourne and Melbourne Health, Melbourne, Australia.ORCID 0000-0003-0848-7194
Joanna LingMelbourne EpiCentre, University of Melbourne and Melbourne Health, Melbourne, Australia.
Mayukh SamantaMelbourne EpiCentre, University of Melbourne and Melbourne Health, Melbourne, Australia.
Olga MontvidaMelbourne EpiCentre, University of Melbourne and Melbourne Health, Melbourne, Australia.
The University of Melbourne · AUThe Royal Melbourne Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evaluating appropriate methodologies for imputation of missing outcome data from electronic medical records (EMRs) is crucial but lacking for observational studies. Using US EMR in people with type 2 diabetes treated over 12 and 24 months with dipeptidyl peptidase 4 inhibitors (DPP-4i, Supplementary Information: The online version contains supplementary material available at 10.1007/s41666-022-00119-w.

Indexed as

Comparative effectiveness studiesElectronic medical recordsMissing dataMultiple imputationReal-world evidence

Identifiers

PMID36744084
PMCPMC9892403
OpenAlexW4295117892

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.