Evidence map›Paper›PMID 41309852›Full record

ArticleScientific reports2025

Decarbonization pathways in medical waste management through circular economy strategies to advance UN-SDGs.

Muhammad Ismail, Xiao Zhongdong, Abdul Waheed, Shahid Mahmood, El-Sayed M El-Sayed, Amel Ali Alhussan, Marwa M Eid, Doaa Sami Khafaga

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Medical waste management within the Green Hospital approach: a systematic review of direct, contextual, and transferable evidence.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2026
    Pooled it
  2. Article
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

8 authors.

Muhammad IsmailSchool of Management, Xi'an Jiaotong University, Xi'an, 710049, China.
Xiao ZhongdongSchool of Management, Xi'an Jiaotong University, Xi'an, 710049, China.
Abdul WaheedSchool of Business, Xian International University, Xian, China. XAIU24250@xaiu.edu.cn.
Shahid MahmoodMalik Firoz Khan Noon Business School, University of Sargodha, Sargodha, Pakistan.
El-Sayed M El-SayedApplied Science Research Center, Applied Science Private University, Amman, Jordan.
Amel Ali AlhussanDepartment of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
Marwa M EidFaculty of Artificial Intelligence, Delta University of Science and Technology, Mansoura, Egypt.
Doaa Sami KhafagaDepartment of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia. dskhafga@pnu.edu.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global health resources have expanded quickly and global health has improved in many places. However, such progress has resulted in a demand for the management and safe disposal of medical waste, particularly in many developing countries which still lack adequate facilities and regulatory framework to deal with their medical waste. This study analyzes decarbonization and circular economy principles of sustainable medical waste management to find optimal solutions for reducing environmental impact and enhancing system efficiency. A novel hybrid MCDM model which combines DEMATEL-ANP is applied for identifying the key factors influencing the decarbonization and medical waste practices. It takes into account the interaction between factors and assists in decision making under uncertainty, particularly when data are scarce. The outcomes of the study highlight the sustainable management of medical waste and their correlation with certain UN-SDGs. According to DEMATEL results, both sustainable development (C1) and advanced technology adoption (C3) have significant cause-effect relationships on the other CE practices, whereas according to ANP findings, prospective investigative dominances of the advanced technology adaption (C2) and sustainable development (C1) are great backbones of decarbonization circular economies. The finding of this study offer specific insights for policymakers and administrators for reducing their environmental burdens, enhancing resource efficiency, and developing the resilience and sustainability of healthcare systems. To the best of our knowledge, this study becomes the first to emphasize medical waste management as a climate challenge and a sustainability issue and utilize a hybrid DEMATEL- ANP approach to facilitate evidence based policy making in low-resource settings in developing countries concurrently considering environmental sustainability as well as healthcare operations gap.

Indexed as

Medical WasteMedical Waste DisposalSustainable DevelopmentWaste ManagementDeveloping CountriesHumansMedical WasteMedical Waste DisposalCircular economyDecarbonizationMCDMMedical waste managementSustainability transitionsUN-SDGs

Identifiers

PMID41309852
PMCPMC12660948

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.