ArticleRevista latino-americana de enfermagem2018
Scientometric overview of nursing research on pain management.
Article in Revista latino-americana de enfermagem, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- Mapping intellectual structure and research hotspots of cancer studies in primary health care: A machine-learning-based analysis.Medicine · 2025Article
- Current trends in pain management: A bibliometric analysis for the 1980-to-2023 period.Medicine · 2025Article
- Impact of COVID-19 on Primary Healthcare Research: Trends and Suggestions for Better Services Approaches Via Blockchain Based Applications.Blockchain in healthcare today · 2025Article
- Thirty-year survey of bibliometrics used in the research literature of pain: Analysis, evolution, and pitfalls.Frontiers in pain research (Lausanne, Switzerland) · 2023Review
- The Relationship between Sustainable Built Environment, Art Therapy and Therapeutic Design in Promoting Health and Well-Being.International journal of environmental research and public health · 2021Article
- Bibliometric Analysis of Research Articles on Pain in the Elderly Published from 2000 to 2019.Journal of pain research · 2021Article
- Global scientific research on social participation of older people from 2000 to 2019: A bibliometric analysis.International journal of older people nursing · 2021Article
- Bibliometric Analysis of Research Assessing the Use of Acupuncture for Pain Treatment Over the Past 20 Years.Journal of pain research · 2020Article
- Science mapping of COVID-19 contributions in primary health care by OECD countries: A machine learning approach.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveto analyse research articles on pain and nursing issues using bibliometric and scientometric methodologies.
methodarticles in the Web of Science database containing pain and nurse and pain and nursing were analyzed using scientometric methods through data visualization techniques and advanced text analytics.
resultamong the 107,559 research articles found in the field of nursing, 3,976 of them were written based on the keywords pain and nursing, and were considered in conformity with the scope of this study. Preliminary analyses indicated that the publications have increased through the years with minor fluctuations. Titles, keywords, and abstracts were analyzed through text analytics to reveal keyword clusters and topic structures. Studies on oncology and pain in the field of nursing have a relatively higher frequency.
conclusionthe results of the analyses revealed the characteristics of the current literature in a broad range of areas by considering the particular dimensions. Therefore, the findings may support present and future research in this field by shedding light on the networks, trends, and contents in the related literature.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.