Evidence map›Paper›PMID 32195071›Full record

ArticleCureus2020

Global Incidence and Mortality Trends due to Adverse Effects of Medical Treatment, 1990-2017: A Systematic Analysis from the Global Burden of Diseases, Injuries and Risk Factors Study.

Javaid Nauman, Elpidoforos S Soteriades, Muhammad Jawad Hashim, Romona Govender, Reem Saif Al Darmaki, Reem Juma Al Falasi, Shreesh Kumar Ojha, Shamaila Masood-Husain, Syed Fahad Javaid, Moien Ab Khan

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
7.6field-weighted citation impact, top 3% of its field
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

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.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

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4 · The record

Corrections and comments

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

10 authors at 2 institutions in 1 country.

Javaid NaumanEpidemiology and Public Health, Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, ARE.
Elpidoforos S SoteriadesEpidemiology and Public Health, Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, ARE.
Muhammad Jawad HashimFamily Medicine, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, ARE.
Romona GovenderFamily Medicine, United Arab Emirates University, Al Ain, ARE.
Reem Saif Al DarmakiFamily Medicine, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, ARE.
Reem Juma Al FalasiFamily Medicine, Ambulatory Health Care Services, Al Ain, ARE.
Shreesh Kumar OjhaPharmacology and Therapeutics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, ARE.
Shamaila Masood-HusainFamily Medicine, Parchmore Medical Centre, London, GBR.
Syed Fahad JavaidPsychiatry and Behavioral Science, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, ARE.
Moien Ab KhanFamily Medicine, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, ARE.
United Arab Emirates University · AEAl Ain University · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim To quantify the global incidence and mortality of adverse effects of medical treatment (AEMT) and forecast the possible emerging trends of AEMT. Materials and methods We analyzed the latest data from the Global Burden of Disease (GBD) 2017 study. We describe the burden of AEMT based on age- and region-specific incidence and mortality rates between 1990 and 2017. Additionally, we evaluated the change of burden due to AEMT by different periods between 1990 and 2017, and compared the age-standardized incidence and mortality rates among different World Health Organization (WHO) regions. Results Globally, AEMT incidence rates varied across WHO regions and countries. The estimated age-standardized average incidence rates of AEMT were 309 [95% uncertainty interval (UI), 270 to 351], 340 (298 to 384), 401 (348 to 458), and 439 (376 to 505) per 100,000 population across the world in 1990, 2000, 2010, and 2017, respectively, showing an increasing trend in the new occurrence of adverse events. The incidence rate among women (469/100,000) was higher compared to men (409/100,000) in 2017. Between 1990 and 2017, we observed an upward trend in the incidence rates of AEMT across global regions, with a substantial increase in the incidence by 42% (27 to 57) between the years 1990 and 2017, translated to an annualized rate of incline of 1.5%. In the age group of 60-64 years, the incidence rates increased by 96% in 2017 compared to 1990. The global incidence rate due to AEMT is forecasted to increase to 446.94 (433.65 to 460.22) by 2020, 478.49 (376.88 to 580.09) in 2030, and to reach 510.03 (276.58 to 743.49) per 100,000 by 2040. We observed a decline in mortality rates due to AEMT across global regions, and the annualized rate of mortality change was -0.90 percentage points between 1990 and 2017. Overall, the AEMT mortality rate was higher in men (1.73/100,000) than in women (1.48/100,000), and age-specific mortality rates showed a bimodal increase between the age group of birth to one year, and an increase in the age group of 65 years and above. The global mortality rate due to AEMT is expected to be 1.55 (1.48 to 1.61) in 2020, 1.37 (0.88 to 1.86 ) in 2030 and 1.2 deaths per 100,000 (0.08 to 2.32) by 2040. Conclusion Using the GBD 2017 study data, we found an increase in the incidence of AEMT, and an overall decrease in the mortality rate between 1990 and 2017, with varying estimates between different countries and regions, gender and age groups. The forecast analysis displayed the same trends - an increase in AEMT incidence and a decline in mortality between 2020 and 2040. The high burden of AEMT warrants the implementation of robust policies in the healthcare system including appropriate patient safety training for the healthcare professionals, and safe culture of feedback with the implementation of electronic medical records to achieve WHO patient safety strategy goals.

Indexed as

adverse eventscomplication of treatmentglobal burdenglobal healthhealth care systemhealth policymedical errorspatient safetypublic healthside effects of medical treatment

Identifiers

PMID32195071
PMCPMC7075477
OpenAlexW3012427590

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.