Evidence map›Paper›PMID 32818140›Full record

ArticleOpen forum infectious diseases2020

Artificial Intelligence Platform Demonstrates High Adherence in Patients Receiving Fixed-Dose Ledipasvir and Sofosbuvir: A Pilot Study.

Alain H Litwin, Laura Shafner, Brianna Norton, Matthew J Akiyama, Linda Agyemang, Mercedes Guzman, Tatiana Vera, Moonseong Heo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Open forum infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
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  8. Review
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

8 authors.

Alain H LitwinDepartment of Medicine, University of South Carolina School of Medicine-Greenville, Greenville, South Carolina, USA.
Laura ShafnerAiCure, New York, New York, USA.
Brianna NortonDivision of General Internal Medicine, Department of Medicine, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York, USA.
Matthew J AkiyamaDivision of General Internal Medicine, Department of Medicine, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York, USA.
Linda AgyemangDivision of General Internal Medicine, Department of Medicine, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York, USA.
Mercedes GuzmanDivision of General Internal Medicine, Department of Medicine, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York, USA.
Tatiana VeraDivision of General Internal Medicine, Department of Medicine, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, New York, USA.
Moonseong HeoClemson University School of Health Research, Clemson, South Carolina, USA.

Funding

Advance Care Coordination and Enhanced Linkage and Retention Among Transitional Re-Entrants LivingR00DA043011 · NIDA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI AKIYAMA, MATTHEW · 2020 to 2022
$747k
NIDA NIH HHS R00 DA043011
6 · The paper itself

Abstract

This study evaluated health outcomes among people who inject drugs who are infected with hepatitis C virus using an artificial intelligence platform. Mean (SD) cumulative adherence (visual confirmation of administration) was 91.3% (10.5%). Most subjects (88.2%) achieved ≥80% adherence to treatment, and 88.2% (15 of 17) achieved a sustained virologic response.

Indexed as

adherenceHCVPWID

Identifiers

PMID32818140
PMCPMC7423287

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.