SynthesisThe British journal of surgery2019
Systematic review of the use of big data to improve surgery in low- and middle-income countries.
Synthesis in The British journal of surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 4 of them syntheses that pooled it.
What it found
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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
13 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Machine learning in the development and application of patient-reported outcome measures (PROMs) for surgical patients: a systematic review.Journal of patient-reported outcomes · 2026Pooled it
- Use of Technology to Support Health Care Providers Delivering Care in Low- and Lower-Middle-Income Countries: Systematic Umbrella Review.Journal of medical Internet research · 2025Pooled it
- Indications, Challenges, and Characteristics of Successful Implementation of Perioperative Registries in Low Resource Settings: A Systematic Review.World journal of surgery · 2023Pooled it
- The impact of preoperative oral nutrition supplementation on outcomes in patients undergoing gastrointestinal surgery for cancer in low- and middle-income countries: a systematic review and meta-analysis.Scientific reports · 2022Pooled it
- Building better outcomes: A grounded theory approach to understanding creation and management of surgical data systems in Ethiopia.PLOS global public health · 2026Article
- Enhancing surgical safety and complication management in low-resource settings.Annals of medicine and surgery (2012) · 2025Article
- GAPS phase II: development and pilot results of the global assessment in pediatric surgery, an evidence-based pediatric surgical capacity assessment tool for low-resource settings.Pediatric surgery international · 2024Article
- The State of Surgical Research in Sub-Saharan Africa: An Urgent Call for Surgical Research Trainers.Plastic and reconstructive surgery. Global open · 2024Article
- Building a house without foundations? A 24-country qualitative interview study on artificial intelligence in intensive care medicine.BMJ health & care informatics · 2024Article
- European society for trauma and emergency surgery member-identified research priorities in emergency surgery: a roadmap for future clinical research opportunities.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024Review
- The role of Hospital-Based Cancer Registries (HBCRs) as information systems in the delivery of evidence-based integrated cancer care: a scoping review.Health systems (Basingstoke, England) · 2024Article
- Predicting the Need for Therapeutic Intervention and Mortality in Acute Pancreatitis: A Two-Center International Study Using Machine Learning.Journal of personalized medicine · 2022Article
- Impact of the internet on veterinary surgery.Veterinary and animal science · 2021Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTechnological advances have led to the generation of large amounts of data, both in surgical research and practice. Despite this, it is unclear how much originates in low- and middle-income countries (LMICs) and what barriers exist to the use of such data in improving surgical care. The aim of this review was to capture the extent and impact of programmes that use large volumes of patient data on surgical care in LMICs.
methodsA PRISMA-compliant systematic literature review of PubMed, Embase and Google Scholar was performed in August 2018. Prospective studies collecting large volumes of patient-level data within LMIC settings were included and evaluated qualitatively.
resultsA total of 68 studies were included from 71 LMICs, involving 708 032 patients. The number of patients in included studies varied widely (from 335 to 428 346), with 25 reporting data on 3000 or more LMIC patients. Patient inclusion in large-data studies in LMICs has increased dramatically since 2015. Studies predominantly involved Brazil, China, India and Thailand, with low patient numbers from Africa and Latin America. Outcomes after surgery were commonly the focus (33 studies); very few large studies looked at access to surgical care or patient expenditure. The use of large data sets specifically to improve surgical outcomes in LMICs is currently limited.
conclusionLarge volumes of data are becoming more common and provide a strong foundation for continuing investigation. Future studies should address questions more specific to surgery.
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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.