Operative Procedures in the Elderly in Low‐Resource Settings: A Review of Médecins Sans Frontières Facilities
Bibliographic record
Abstract
BACKGROUND: As the demographic transition occurs across developing countries, an increasing number of elderly individuals are affected by disasters and conflicts. This study aimed to evaluate the elderly population that underwent an operative procedure at MSF facilities. METHODS: A retrospective review of prospectively collected operative cases performed at MSF-Operational Centre Brussels (MSF-OCB) facilities between June 2008 and December 2012 was completed. Baseline demographic data, American Society of Anesthesiologists (ASA) physical status and surgical indications were collected for each patient. For each procedure, the degree of urgency, anesthesia type, and intra-operative mortality were noted. All patients aged 50 and over at the time of the procedure were considered elderly, as proposed by the World Health Organization (WHO). Comparisons were made with the 18-49 age group in order to elucidate differences between older and younger individuals. RESULTS: We reviewed a total of 93,385 procedures performed on 83,911 patients in 21 different countries. Patients aged 50 and over comprised 11.5% (9,628/83,911) of all patients. While most procedures (57.6%) in the comparison group were urgent, this proportion decreased substantially in the elderly. Intra-operative mortality was considerably lower in the 50-59 group (0.12%) but increased with each age stratum. The most commonly performed surgical procedures in the elderly included herniorrhaphies, simple and extensive wound debridements, abscess incision and drainages, minor tumorectomies, and urological procedures. CONCLUSIONS: In light of the increasing elderly population in developing countries, efforts should be made to better quantify and address their surgical needs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".