ArticleNigerian journal of surgery : official publication of the Nigerian Surgical Research Society
Developing a Low-resource Approach to Trauma Patient Care - Findings from a Nigerian Trauma Registry.
Article in Nigerian journal of surgery : official publication of the Nigerian Surgical Research Society. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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
3 citing papers in PubMed, 4 citations in OpenAlex.
- Review of a large trauma registry in Addis Ababa, Ethiopia: insights into prehospital care and provider training for trauma quality improvement.Trauma surgery & acute care open · 2024Article
- Trauma provision in South-West Nigeria: Epidemiology, challenges and priorities.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2022Article
- The hidden epidemiology of trauma in Nunavik: a call for a dedicated trauma registry.Canadian journal of surgery. Journal canadien de chirurgieArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTrauma is a worldwide problem that results in significant morbidity and mortality in developing countries.
objectiveThis study looks at the demography of trauma from data abstracted from a Nigerian trauma registry and considers the peculiarities of a low-resource setting from this perspective.
methodsTrauma registry data from January 2013 to June 2014 were analyzed.
resultsA total of 542 patients were included in the study. The mean age of the patients was 33.43 ± 12.79 years; the median time from injury to arrival at the hospital was 3 h (interquartile range IQR 1 - 5.1 h); three-quarters of the patients sustained their injuries on the road-tricycles were rarely involved in road traffic injuries (RTIs) (6.9% of RTIs) but were used in transporting a third of the patients whose data on means of transportation were captured. There were 15 (2.7%) deaths in the first 24 h period postinjury covered by the study - 13 (86.7%) of these patients had head-and-neck injury. About half of the assault injury (50.5%) was from persons known to the victim. The shock indices suggested that a majority of the patients were not at a high risk of mortality.
conclusionMost of the trauma patients at our hospital were in low- to middle-income categories. The median time to arrival of injured patients was 3 h (IQR 1 - 6 h). Most injuries occurred on the road because of RTIs. The involvement of tricycles in accidents was uncommon, but they were used fairly commonly by lay responders in transporting the injured victim to hospital. A high proportion of assailants were known to the victim. The use of trauma registries provides essential data for prioritizing limited resources and can guide a contextualized approach to reducing trauma and improving trauma patient care.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.