Evidence map›Paper›PMID 38283165›Full record

ArticleProceedings. IEEE International Conference on Healthcare Informatics2023

End-to-End

Yuhang Jiang, Ramakanth Kavuluru

Open access · greenAbstract read
In one paragraph

Article in Proceedings. IEEE International Conference on Healthcare Informatics, 2023. 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
0.6field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. LitTx: A New Treatment Relation Extraction Dataset.LREC ... International Conference on Language Resources & Evaluation : [proceedings]. International Conference on Language Resources & Evaluation · 2026
    Article
  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. Article
  4. 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

2 authors at 1 institution in 1 country.

Yuhang JiangDepartment of Computer Science, University of Kentucky, Lexington, KY USA.
Ramakanth KavuluruDivision of Biomedical Informatics, Dept. of Internal Medicine, Univ. of Kentucky, Lexington, KY USA.
University of Kentucky · US

Funding

Advanced End-to-End Relation Extraction with Deep Neural NetworksR01LM013240 · NLM · UNIVERSITY OF KENTUCKY · PI KAVULURU, VENKATA NAGA RAMAKANTH · 2020 to 2023
$1.4M
NLM NIH HHS R01 LM013240
6 · The paper itself

Abstract

Combination drug therapies are treatment regimens that involve two or more drugs, administered more commonly for patients with cancer, HIV, malaria, or tuberculosis. Currently there are over 350K articles in PubMed that use the

Indexed as

combination drug therapiesend-to-end relation extractionnamed entity recognitionn-ary relation extraction

Identifiers

PMID38283165
PMCPMC10814995
OpenAlexW4389543757

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.