| Literature DB >> 32171011 |
Dylan P Griswold1,2, Ahsan A Khan3,4, Tiffany E Chao1,5, David J Clark3,2, Karol Budohoski3,2, B Indira Devi3,6, Tej D Azad1,7, Gerald A Grant1, Rikin A Trivedi3,2, Andres M Rubiano3,4, Walter D Johnson8, Kee B Park9, Marike Broekman10, Franco Servadei11, Peter J Hutchinson3,2, Angelos G Kolias3,2.
Abstract
BACKGROUND: The setting of a randomized trial can determine whether its findings are generalizable and can therefore apply to different settings. The contribution of low- and middle-income countries (LMICs) to neurosurgical randomized trials has not been systematically described before.Entities:
Keywords: Access to care; Global health; Global neurosurgery; Global surgery; Health disparities; Low- and middle-income countries; Neurosurgery; Neurotrauma; Research; Research capacity strengthening; Spinal surgery
Year: 2020 PMID: 32171011 PMCID: PMC7426187 DOI: 10.1093/neuros/nyaa049
Source DB: PubMed Journal: Neurosurgery ISSN: 0148-396X Impact factor: 4.654
FIGURE 1.Application programming interface (API) coordinates of lead sites reveals the concentration of hubs of research. Each blue dot represents the location of the lead site. ArcGIS software was used to generate a kernel density heat map based on the latitude and longitude of each site.
Comparison of Randomized Controlled Trials Led by High-Income Countries vs Low- and Middle-Income Countries
| Characteristics | HIC-led | LMIC-led |
|
|---|---|---|---|
| Total studies—no./total no. (%) | 291/397 (73.3) | 106/397 (26.7) | – |
| Median sample size (IQR) | 92 (46-182) | 65 (42-106) | .0086 |
| Median length of enrollment (IQR) | 36 (21-51) | 30 (20-47) | .22 |
| Median length of follow-up (IQR) | 24 (12-33) | 18 (12-32) | .26 |
| Mean number of sites (SD) | 7.6 (12.0) | 1.8 (4.7) | <.0001 |
| Source of funding—no./total no. (%) | |||
| Institutional | 94/291 (32.3) | 58/106 (54.7) | <.0001 |
| Industry | 98/291 (33.7) | 4/106 (3.8) | |
| Government | 63/291 (21.6) | 20/106 (18.9) | |
| Charitable | 9/291 (3.1) | 2/106 (1.9) | |
| Unspecified | 27/291 (9.3) | 22/106 (20.7) | |
| Subspecialty—no./total no. (%) | |||
| Spine | 198/291 (68.0) | 76/106 (71.7) | <.0001 |
| Functional | 37/291 (12.7) | 3/106 (2.8) | |
| Cerebrovascular | 25/291 (8.6) | 12/106 (11.3) | |
| Neurotrauma | 6/291 (2.1) | 8/106 (7.5) | |
| General | 11/291 (3.8) | 1/106 (0.9) | |
| Neuro-oncology | 10/291 (3.4) | 3/106 (2.8) | |
| Pediatric | 4/291 (1.4) | 3/106 (2.8) | |
Comparison of Neurosurgical Randomized Controlled Trials Sample Populations in High-Income Countries vs Low- and Middle-Income Countries
| Characteristics | HIC-only sample | LMIC-only sample |
|
|---|---|---|---|
| Total studies—no./total no. (%) | 283/397 (71.2)[ | 108/397 (27.2)[ | – |
| Median sample size (IQR) | 87 (44-170) | 65 (42-106) | .017 |
| Median length of enrollment (IQR) | 36 (21-50) | 31 (20-46) | .32 |
| Median length of follow-up (IQR) | 24 (12-36) | 18 (12-31) | .35 |
| Mean number of sites (SD) | 6.7 (9.9) | 1.9 (4.7) | <.0001 |
| Source of funding—no./total no. (%) | |||
| Institutional | 94/283 (33.2) | 59/108 (54.6) | <.0001 |
| Industry | 95/283 (33.6) | 4/108 (3.7) | |
| Government | 58/283 (20.5) | 21/108 (19.4) | |
| Charitable | 9/283 (3.2) | 2/108 (1.9) | |
| Unspecified | 27/283 (9.5) | 22/108 (20.4) | |
| Subspecialty—no./total no. (%) | |||
| Spine | 198/283 (69.9) | 76/108 (70.4) | <.0001 |
| Functional | 37/283 (13.1) | 3/108 (2.8) | |
| Cerebrovascular | 20/283 (7.1) | 13/108 (12.0) | |
| Neurotrauma | 3/283 (1.1) | 9/108 (8.3) | |
| General | 11/283 (3.9) | 1/108 (0.9) | |
| Neuro-oncology | 10/283 (3.5) | 3/108 (2.8) | |
| Pediatric | 4/283 (1.4) | 3/108 (2.8) | |
aDoes not add up to 397, because 6 studies recruit from both.
FIGURE 2.The annual healthcare expenditure per capita ranges from 24.96 international-$ in the Central African Republic to 9402 international-$ in the United States, based on data from fiscal year 2013/2014. Total health expenditure is the sum of public and private health expenditures as a ratio of total population. Data are in international dollars converted using 2011 purchasing power parity (PPP) rates. “Annual healthcare expenditure per capita, 2014” map from “Financing Healthcare” by Estaban Ortiz-Ospina and Max Roser (https://ourworldindata.org/financing-healthcare), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/deed.en_US). Data are from World Bank–World Development Indicators, World Health Organization Global Health Expenditure database (see http://apps.who.int/nha/database for the most recent updates).