Evidence map›Paper›PMID 36060917›Full record

ArticleIranian journal of pharmaceutical research : IJPR2022

Factors Affecting the Product Life Cycle of Generic Medicines.

Atefeh Mousavi, Hossein Zare, Aydin Asadian, Mehdi Mohammadzadeh

Abstract read
In one paragraph

Article in Iranian journal of pharmaceutical research : IJPR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Atefeh MousaviPharmaceutical and Health Economics and Management Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Hossein ZareDepartment of Health Policy and Management, Johns Hopkins Center for Health Disparities Solutions, the University of Maryland Global Campus, Health Services Management, 624 North Broadway, Baltimore, Maryland, United States.
Aydin AsadianSchool of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mehdi MohammadzadehDepartment of Pharmacoeconomy & Administrative Pharmacy, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Product life cycle (PLC) refers to the time ranging from when a product is introduced into the market to when it is taken off the shelves. The PLC management can guarantee product survival and prevent its decline. Objectives: This study investigated generic antibiotic PLCs and detected factors affecting them in the competitive pharmaceutical market of Iran to improve the PLC management of such drugs. Methods: To study the PLC of antibiotics, data were collected from 2002 to 2017, and then the PLC curves were analyzed. Accordingly, factors affecting the PLC of antibiotics were illustrated in two sections: all PLC curves and the PLC curves with one sales peak. Using a generalized linear model combined with a machine learning approach, we identified the sales patterns and the effect of the product-related and the competition-related factors on the PLC curves, peak height, and the time to reach peak sales. Results: According to the findings, 16, 11.87, 13.03, and 59% of the antibiotics had linear, binomial, one-peak, and oscillating sales patterns, respectively. The most crucial factors affecting the PLC shape were the quality, microbial spectrum, dosage forms, number of competitors, and entry arrangement. Conclusions: This study examined factors affecting the PLC patterns of generic pharmaceutical products. The findings would provide more insights into the generic pharmaceutical market as one of the less-studied markets in many countries.

Indexed as

AntibioticsGeneralized Linear Model (GLM)Machine LearningPharmaceuticalProduct Life Cycle

Identifiers

PMID36060917
PMCPMC9420220

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