| Literature DB >> 32110092 |
Abstract
BACKGROUND: Non-steroidal anti-inflammatory drugs (NSAIDs) are commonly used in the treatment of pain and inflammation. However, chronic NSAID use may result in gastrointestinal (GI), cardiovascular (CV), renal or other safety concerns, especially in high-risk populations. The aim of this review is to systematically identify relevant literature and to organize available evidence for perceptions or beliefs of physicians and patients about the safety and efficacy of NSAIDs.Entities:
Keywords: COX-2 inhibitors; cardiovascular; efficacy; gastrointestinal; renal; respiratory
Year: 2020 PMID: 32110092 PMCID: PMC7041596 DOI: 10.2147/JPR.S229387
Source DB: PubMed Journal: J Pain Res ISSN: 1178-7090 Impact factor: 3.133
MEDLINE® Search Strategy Through PubMed®
| # | Queries | Hits |
|---|---|---|
| 1 | “cyclooxygenase inhibitors”[MeSH®] OR “anti-inflammatory agents, non-steroidal”[MeSH®] OR “non-steroidal anti-inflammatory”[tiab] OR “nonsteroidal anti-inflammatory”[tiab] OR “non-steroidal antiinflammatory”[tiab] OR “nonsteroidal antiinflammatory”[tiab] OR “non-steroid anti-inflammatory”[tiab] OR “non-steroid antiinflammatory”[tiab] OR “nonsteroid antiinflammatory”[tiab] OR “NSAIDs”[tiab] OR “NSAID”[tiab] OR “Non-steroid anti-inflammatory drugs”[tiab] | 97,389 |
| 2 | “Perception”[tiab] OR “Perceptions”[tiab] OR “preference”[tiab] OR “preferences”[tiab] OR “perspective”[tiab] OR “opinion”[tiab] OR “opinions”[tiab] OR “Prescribing Pattern”[tiab] OR “Practice Patterns”[tiab] OR “awareness”[tiab] OR “Belief”[tiab] OR “Believe”[tiab] OR “Prescription pattern”[tiab] | 803,722 |
| 3 | “Biological Therapy”[MeSH®] OR “Plant Oils”[MeSH®] OR “Spectrum Analysis” [MeSH®] OR “Molecular Dynamics Simulation”[MeSH®] OR “Protein Aggregates”[MeSH®] OR “Amyloid beta-Peptides”[MeSH®] OR drug evaluation studies, preclinical[MeSH® Terms] OR medicinal plants testing, preclinical[MeSH®] OR “systematic review”[tiab] OR “Case reports”[ptyp] OR “Case report”[tiab] OR “case series”[tiab] OR “case study”[tiab] OR “meta-analysis”[Publication Type] OR “meta-analysis”[tiab] OR “Cost-effectiveness”[tiab] OR “rat” OR “rats” OR “mouse” OR “mice” OR “pig” OR “pigs” OR “horse” OR “equine” OR “veterinary” OR “Animal” OR “Animals” OR “Birds” OR “bird” OR “virus” OR “brolga” OR “Avian” | 10,160,450 |
| 5 | (((((#1 AND #2) NOT #3) Publication date: 2008–2018) Human) English) | 601 |
Embase® Search Strategy Through Ovid®
| # | Queries | Hits |
|---|---|---|
| 1 | cyclooxygenase inhibitors.mp. or prostaglandin synthase inhibitor/ | 10,018 |
| 2 | (cox adj inhibitor$1).ti,ab. | 2898 |
| 3 | Non-steroidal anti-inflammatory drugs.mp. or Non-steroidal anti-inflammatory drugs/ | 14,587 |
| 4 | non?steroid$ anti?inflammatory.ti,ab. | 5774 |
| 5 | nsaid$1.ti,ab. | 38,506 |
| 6 | perception$1.ti,ab. | 257,798 |
| 7 | *prescription/or *prescription drug misuse/ | 34,212 |
| 8 | (prescribing adj pattern$1).ti,ab. | 4358 |
| 9 | (prescription adj pattern$1).ti,ab. | 2154 |
| 10 | (practice adj pattern$1).ti,ab. | 10,692 |
| 11 | exp Biological Therapy/ | 1,443,475 |
| 12 | exp preclinical study/ | 15,294 |
| 13 | exp Plant Oils/ | 74,624 |
| 14 | exp Spectrum Analysis/ | 348,769 |
| 15 | exp Molecular Dynamics Simulation/ | 114,549 |
| 16 | exp Protein Aggregates/ | 2135 |
| 17 | exp Amyloid beta-Peptides/ | 35,915 |
| 18 | systematic review$1.ti,ab. | 153,199 |
| 19 | case report/ | 2,266,125 |
| 20 | case series.mp. or case study/ | 108,437 |
| 21 | meta analysis/ | 147,444 |
| 22 | (Cost adj1 effectiveness).ti,ab. | 72,337 |
| 23 | exp rats/ | 1,629,941 |
| 24 | exp mouse/ | 1,620,316 |
| 25 | exp pig/ | 42,843 |
| 26 | exp horse/ | 59,383 |
| 27 | veterinary.mp. or veterinary.ti,ab. | 100,448 |
| 28 | exp Birds/ | 203,853 |
| 29 | 11 or 12 or 13 or 14 or 15 or 16 or 17 or 18 or 19 or 20 or 21 or 22 or 23 or 24 or 25 or 26 or 27 or 28 | 7,679,003 |
| 30 | preference$1.ti,ab. | 157,129 |
| 31 | believe.ti,ab. | 108,989 |
| 32 | belief.ti,ab. | 35,558 |
| 33 | awareness.ti,ab. | 172,345 |
| 34 | 1 or 2 or 3 or 4 or 5 | 58,942 |
| 35 | nsaid/ | 113,774 |
| 36 | 34 or 35 | 139,170 |
| 37 | 6 or 7 or 8 or 9 or 10 or 30 or 31 or 32 or 33 | 740,140 |
| 38 | 36 and 37 | 4674 |
| 39 | 38 not 29 | 3810 |
| 40 | limit 39 to (english language and yr=“2008–2018”) | 2167 |
Figure 1PRISMA flow diagram, study selection flow.
Abbreviation: APAC, Asia-Pacific.
Characteristics of Asia-Pacific (APAC) Studies
| No. | Author (Year) | Country (Region) | Population Studied | Study Design | Sample Size | Outcomes Studied |
|---|---|---|---|---|---|---|
| 1 | Gupta (2014) | India (APAC) | Students | Cross-sectional study | 591 | Patient awareness/perception |
| 2 | Hong (2016) | Korea (APAC) | Patients with cirrhosis | Retrospective review | 125,505 | Prescription pattern |
| 3 | Imtiaz (2013) | Pakistan (APAC) | Students | Descriptive cross-sectional study | 320 | Patient awareness/perception |
| 4 | Jagdish (2018) | India (APAC) | Patients with rheumatological diagnosis | Prospective study | 500 | Patient awareness/perception |
| 5 | Tanwar (2015) | India (APAC) | Undergraduate medical students | Cross-sectional questionnaire-based Study | 130 | Awareness/Perception |
| 6 | Mudhaliar (2016) | India (APAC) | Patients at orthopedic outpatient | Retrospective Study | 150 | Prescription pattern |
| 7 | Phueanpinit (2017) | Thailand (APAC) | Orthopedic physicians | Cross‐sectional study | 66 | Prescription pattern/physician perception |
| 8 | Saurabh (2010) | India (APAC) | Physicians | Survey | NA | Prescription pattern |
| 9 | Purkayastha (2016) | India (APAC) | Prescriptions | Prospective, observational, non-interventional study | 300 | Prescription pattern |
| 10 | Khan (2016) | Pakistan (APAC) | Physicians | Non-interventional, cross sectional study | 45 inpatient prescriptions | Prescription pattern |
| 11 | Saurabh (2011) | India (APAC) | Prescriptions | Cross-sectional descriptive study | 600 | Prescription pattern |
| 12 | Sonal Sekhar (2011) | India (APAC) | Patients | Hospital based retrospective study | 575 | Prescription pattern |
| 13 | Ahmad (2015) | India (APAC) | Patients | Cross-sectional study | 380 | Patient perception |
| 14 | Chan (2014) | Malaysia (APAC) | Medical records | Cross-sectional study | 365 | Physician perception/awareness |
| 15 | Chen (2014) | Pakistan (APAC) | Medical/Non-medical Teachers | Cross-sectional study | 250 | Patient awareness/perception |
| 16 | Choudhary (2013) | India (APAC) | Doctors, nurses and pharmacists | Questionnaire Survey | 72 doctors, 46 pharmacists, 23 nurses | Physician awareness |
| 17 | De leon (2008) | Philippines (APAC) | General surgeons | Survey | 167 | Physician perception/preference |
| 18 | Nguyen (2014) | India (APAC) | Medical students/residents, and GI fellows | Survey | 543 | Perception/preference |
| 19 | Fatima (2017) | India (APAC) | Medical and paramedical students | Cross-sectional study | 250 | Awareness/perception |
| 20 | Gul (2014) | Pakistan (APAC) | Prescriptions | Retrospective study | 200 | Prescription pattern |
| 21 | Phueanpinit (2016) | Thailand (APAC) | Orthopedic patients | Cross-sectional study | 474 | Patient awareness/perception |
| 22 | Ravinthar (2017) | India (APAC) | Post graduates and dental practitioners | Survey | 100 | Physician perception/awareness |
| 23 | Antappan (2017) | India (APAC) | Orthopedic patients | Prospective observational study | 105 | Prescription pattern |
Figure 2Distribution of included studies (Asia-Pacific) by population studied.