Evidence map›Paper›PMID 37900427›Full record

ArticleCureus2023

Future Projections of Diabetes-Related Amputations in Eastern Saudi Arabia During 2022-2045 Using a Validated Epidemiological Model.

Abdulkareem J Al-Quwaidhi, Essa M AlSaleh

Abstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Observational
  2. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Abdulkareem J Al-QuwaidhiPreventive Medicine, Al-Ahsa Health Cluster, Ministry of Health, Al-Ahsa, SAU.
Essa M AlSalehInfection Control, Al-Ahsa Directorate of Health Affairs, Ministry of Health, Hofuf, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiabetes-related amputations (DRA) are associated with significant morbidity and mortality. There are limited studies on the burden of this condition and its future projections in Saudi Arabia.

objectivesTo estimate future forecasts in the burden of DRA (number of cases and mortalities) among adult diabetics (aged ≥20 years) in Al-Ahsa, Eastern Region of Saudi Arabia from 2022 to 2045.

methodsA simulation epidemiological model was designed and validated. It is a simple discrete-state model composed of multiple states, in which diabetics make annual transitions to either 'Major Amputations', 'Minor Amputations', or 'No Amputations' states, and then to two states of mortalities. The data inputs required are minimal, including the total diagnosed cases of diabetes for 2022 and transition parameters obtained from recent published literature. The model used some reasonable assumptions and scenarios for testing potential uncertainties around the model outputs. Model validation was conducted by comparing its estimates with the observed local data from two main hospitals in Al-Ahsa for 2022.

resultsThe model projected that the total number of DRA among diabetics in Al-Ahsa will increase from 129 (uncertainty interval (UI): 103-154) in 2022 to 169 (UI: 136-203) in 2030 and 227 (UI: 182-272) in 2045, assuming that the incidence rates of major and minor amputations among diabetics will remain constant. However, assuming that these incidence rates will show a gradual decline of 20% every three years, the model predicted the total number of DRA to decrease from 103 (UI: 82-124) in 2022 to 91 (UI: 73-110) in 2030 and 61 (UI: 49-74) in 2045.

conclusionDRA impose a considerable burden on patients and the healthcare system, despite the possibility of a potential decrease in incidence rates.

Indexed as

amputationsdiabetesmodelingprojectionssaudi arabia

Identifiers

PMID37900427
PMCPMC10600592

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