Evidence map›Paper›PMID 37100249›Full record

ReviewChemosphere2023

Global trends in the research and development of medical/pharmaceutical wastewater treatment over the half-century.

Ling Wang, Yixia Xu, Tian Qin, Mengting Wu, Zhiqin Chen, Yalan Zhang, Wei Liu, Xianchuan Xie

Abstract readReview
In one paragraph

Review in Chemosphere, 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

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. Article
  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.

Ling WangDepartment of Nursing, The Second Hospital of Nanjing, Nursing, Nanjing Hospital Affiliated to Nanjing University of Traditional Chinese Medicine, Nanjing, 210003, China.
Yixia XuDepartment of Nursing, The Second Hospital of Nanjing, Nursing, Nanjing Hospital Affiliated to Nanjing University of Traditional Chinese Medicine, Nanjing, 210003, China.
Tian QinKey Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, School of Resource and Environment, Nanchang University, Nanchang, 330031, China.
Mengting WuKey Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, School of Resource and Environment, Nanchang University, Nanchang, 330031, China.
Zhiqin ChenKey Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, School of Resource and Environment, Nanchang University, Nanchang, 330031, China.
Yalan ZhangKey Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, School of Resource and Environment, Nanchang University, Nanchang, 330031, China.
Wei LiuKey Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, School of Resource and Environment, Nanchang University, Nanchang, 330031, China. Electronic address: LiuW@ncu.edu.cn.
Xianchuan XieKey Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, School of Resource and Environment, Nanchang University, Nanchang, 330031, China. Electronic address: 24255542@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has severely impacted public health and the worldwide economy. The overstretched operation of health systems around the world is accompanied by potential and ongoing environmental threats. At present, comprehensive scientific assessments of research on temporal changes in medical/pharmaceutical wastewater (MPWW), as well as estimations of researcher networks and scientific productivity are lacking. Therefore, we conducted a thorough literature study, using bibliometrics to reproduce research on medical wastewater over nearly half a century. Our primary goal is systematically to map the evolution of keyword clusters over time, and to obtain the structure and credibility of clusters. Our secondary objective was to measure research network performance (country, institution, and author) using CiteSpace and VOSviewer. We extracted 2306 papers published between 1981 and 2022. The co-cited reference network identified 16 clusters with well-structured networks (Q = 0.7716, S = 0.896). The main trends were as follows: 1) Early MPWW research prioritized sources of wastewater, and this cluster was considered to be the mainstream research frontier and direction, representing an important source and priority research area. 2) Mid-term research focused on characteristic contaminants and detection technologies. Particularly during 2000-2010, a period of rapid developments in global medical systems, pharmaceutical compounds (PhCs) in MPWW were recognized as a major threat to human health and the environment. 3) Recent research has focused on novel degradation technologies for PhC-containing MPWW, with high scores for research on biological methods. Wastewater-based epidemiology has emerged as being consistent with or predictive of the number of confirmed COVID-19 cases. Therefore, the application of MPWW in COVID-19 tracing will be of great interest to environmentalists. These results could guide the future direction of funding agencies and research groups.

Indexed as

COVID-19WastewaterHumansPandemicsPharmaceutical PreparationsResearchPharmaceutical PreparationsWastewaterCOVID-19Global trendMedical wastewaterPharmaceutical wastewaterWastewater-based epidemiology

Identifiers

PMID37100249
PMCPMC10123381

What OpenQuestion holds

Textmetadata
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.