ArticleDrugs - real world outcomes2020
Using INTERCheck
Article in Drugs - real world outcomes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed, 13 citations in OpenAlex.
- Clinical decision support systems for polypharmacy optimization in older patients: a narrative review.European journal of clinical pharmacology · 2026Review
- Medication Deprescribing in Patients Receiving Hemodialysis: A Prospective Controlled Quality Improvement Study.Kidney medicine · 2024Article
- The Point-of-Care Ultrasound (POCUS) by the Handheld Ultrasound Devices (HUDs) in the COVID-19 Scenario: a Review of the Literature.SN comprehensive clinical medicine · 2023Review
- Persistent headache after first-ever ischemic stroke: clinical characteristics and factors associated with its development.The journal of headache and pain · 2022Article
- Tools supporting polypharmacy management in Italy: Factors determining digital technologies' intention to use in clinical practice.Health science reports · 2022Article
- Evaluating Drug Risk Using GAN and SMOTE Based on CFDA's Spontaneous Reporting Data.Journal of healthcare engineering · 2021Article
- Drug-Drug Interactions and Prescription Appropriateness in Patients with COVID-19: A Retrospective Analysis from a Reference Hospital in Northern Italy.Drugs & aging · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPolypharmacy exposes patients with comorbidities (particularly elderly patients) to an increased risk of drug-specific adverse events and drug-drug interactions. These adverse events could be avoided with the use of a computerized prescription support system in the primary care setting. The INTERCheck
objectivesThis observational study used the INTERCheck
methodsPatients were randomly enrolled from the outpatient department (n = 98) and internal medicine ward (n = 46) of S. Andrea Hospital of Rome. Polypharmacological treatment was analyzed using INTERCheck
resultsPolypharmacy (use of five or more drugs) applied to all except three cases among outpatients and one case among inpatients. A significant positive correlation was found between the number of medications and the INTERCheck
conclusionsINTERCheck
Identifiers
What OpenQuestion holds
Registered trials
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.