Evidence map›Paper›PMID 30649734›Full record

ArticleDrug safety2019

Towards Drug Safety Surveillance and Pharmacovigilance: Current Progress in Detecting Medication and Adverse Drug Events from Electronic Health Records.

Feifan Liu, Abhyuday Jagannatha, Hong Yu

Abstract readEditorial
In one paragraph

Article in Drug safety, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Advances in Non-statin Lipid Therapies: A Narrative Review of Evolving Strategies for Cardiovascular Risk Reduction.American journal of cardiovascular drugs : drugs, devices, and other interventions · 2026
    Review
  2. How important is domain-specific language model pretraining and instruction finetuning for biomedical relation extraction?Natural language processing and information systems : ... International Conference on Applications of Natural Language to Information Systems, NLDB ... revised papers. International Conference on Applications of Natural Language to Info... · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Pharmacovigilance in China: Evolution and future challenges.British journal of clinical pharmacology · 2023
    Review
  15. Article
  16. Article
  17. Real-world evaluation of supportive care using an electronic health record text-mining tool: G-CSF use in breast cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Article
  18. Review
  19. Review
  20. 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

3 authors.

Feifan LiuDepartment of Quantitative Health Sciences and Radiology, University of Massachusetts Medical School, Worcester, MA, USA.
Abhyuday JagannathaCollege of Information and Computer Sciences, University of Massachusetts, Amherst, MA, USA.
Hong YuCollege of Information and Computer Sciences, University of Massachusetts, Amherst, MA, USA. hong_yu@uml.edu.

Funding

EHR Anticoagulants PharmacovigilanceR01HL125089 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI YU, HONG · 2015 to 2019
$4.9M
NHLBI NIH HHS R01 HL125089
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

PharmacovigilanceAdverse Drug Reaction Reporting SystemsDrug-Related Side Effects and Adverse ReactionsElectronic Health RecordsHumans

Identifiers

PMID30649734
PMCPMC6842570

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.