Systematic literature review Army College of Medical Sciences New Delhi
Systematic literature review Army College of Medical Sciences New Delhi. Clinical decision-making advances significantly when medical researchers systematically synthesize clinical trials and observational data into dependable therapeutic guidelines. At the Army College of Medical Sciences (ACMS) New Delhi, faculty members, postgraduate scholars, and clinical researchers actively conduct systematic reviews to appraise emerging interventions, resolve diagnostic dilemmas, and advance patient care standards across military, veteran, and civilian populations.
The Role of Systematic Literature Reviews
A systematic literature review provides an exhaustive, transparent, and reproducible evaluation of all primary studies answering a focused clinical question. Unlike subjective narrative summaries, systematic methodologies apply predefined inclusion criteria and rigorous quality filters to eliminate reporting and selection bias.
- Formulates targeted research questions using structured frameworks such as PICO (Population, Intervention, Comparison, Outcome).
- Queries primary biomedical databases—including PubMed, Scopus, Embase, and the Cochrane Library—using tailored Boolean search strings.
- Pools quantitative findings via meta-analyses to establish reliable estimates of treatment efficacy, complication rates, and diagnostic precision.
Research Capability and Clinical Foundation
Established in 2008 by the Army Welfare Education Society (AWES) and affiliated with Guru Gobind Singh Indraprastha University (GGSIPU), Army College of Medical Sciences (ACMS) operates near the Delhi Cantonment metro station. The college is integrally linked for clinical training and research with Base Hospital Delhi Cantt (BHDC) alongside the Army Hospital Research & Referral (AHRR)—the apex quaternary care and research institution of the Armed Forces Medical Services (AFMS).
Commanding an extensive bed capacity across BHDC and AHRR, the institutional network manages complex tertiary and quaternary referrals, including defense personnel, veterans, their dependents, and specialized civilian cases. This setup provides researchers with distinct clinical depth across specialized domains:
- Operational and tactical trauma medicine, combat resuscitation, blast injuries, and polytrauma critical care pathways.
- High-altitude physiology, cold-weather injuries, and pulmonary/cardiovascular adaptations in extreme environments.
- Advanced quaternary surgical oncology, organ transplantation outcomes, and joint replacement registries at AHRR.
- Vector-borne infections, tropical communicable diseases, and tuberculosis control across military and civilian cohorts.
- Chronic non-communicable diseases, occupational rehabilitation, and mental health/PTSD epidemiology.
Standardized Methodological Workflow
Researchers follow internationally accepted reporting guidelines, primarily the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement:
- Protocol Registration: Define clear eligibility criteria and search algorithms, followed by prospective registration on platforms such as PROSPERO.
- Dual-Reviewer Screening: Conduct title, abstract, and full-text screening independently to ensure unbiased study selection.
- Risk of Bias Appraisal: Evaluate methodological quality using validated instruments such as the Cochrane RoB 2 tool or the Newcastle-Ottawa Scale.
- Data Extraction & Evidence Grading: Extract study parameters methodically and rate the overall certainty of evidence using the GRADE approach.
Translating Evidence into Clinical and Field Practice
Rigorous evidence synthesis translates clinical trials, armed forces registry datasets, and observational studies into dependable bedside and field-operational decision-making. Supported by institutional ethics review boards and defense biomedical research linkages, Army College of Medical Sciences (ACMS) New Delhi empowers medical professionals to publish authoritative findings in high-impact Scopus journals, shape armed forces clinical algorithms, and deliver evidence-informed patient care.
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