Evidence map›Paper›PMID 40599153›Full record

ArticleMedicine international

Awareness of the use of non-steroidal anti-inflammatory drugs: A cross-sectional study.

Lasha Chkhikvadze, Elisabed Chikobava, Nithesh Hariharan, Amritha Omprakash, Syed Mohammed Aamil

Abstract read
In one paragraph

Article in Medicine international. 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
–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

4 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Lasha ChkhikvadzeAmerican MD Program, Tbilisi State Medical University, 0186 Tbilisi, Georgia.
Elisabed ChikobavaAmerican MD Program, Tbilisi State Medical University, 0186 Tbilisi, Georgia.
Nithesh HariharanAmerican MD Program, Tbilisi State Medical University, 0186 Tbilisi, Georgia.
Amritha OmprakashAmerican MD Program, Tbilisi State Medical University, 0186 Tbilisi, Georgia.
Syed Mohammed AamilAmerican MD Program, Tbilisi State Medical University, 0186 Tbilisi, Georgia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-steroidal anti-inflammatory drugs (NSAIDs) are widely utilized across the globe and are frequently used without prescription for various therapeutic purposes. Given their potential for severe adverse effects, assessing the awareness of the use of NSAIDs is crucial. The present study evaluated the awareness levels of the use of NSAID among consumers through a descriptive, cross-sectional, non-randomized study. A 33-item online survey was conducted with 385 NSAID consumers aged ≥18 years between August and October, 2023. Awareness levels were determined based on knowledge and attitude scores assigned to correct responses. The results revealed that headaches (62.9%) and menstrual pain (32.4%) were the primary reasons for the use of NSAIDs, with ibuprofen being the preferred generic NSAID. The overall knowledge of NSAIDs was found to be inadequate, particularly concerning associated risks, such as stroke and myocardial infarction, despite a good understanding of the gastrointestinal risks. Female participants, those aged 26-45 years, and individuals with higher education levels demonstrated better knowledge. A concerning tendency toward self-administration and over-the-counter use was observed. These findings highlight the need for targeted educational initiatives and regulatory interventions to improve NSAID awareness and promote responsible medication practices.

Indexed as

attitudeelectronic surveyknowledgeNon-steroidal anti-inflammatory drugsover-the-counter drugs

Identifiers

PMID40599153
PMCPMC12207725

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Registered trials

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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.