Evidence map›Paper›PMID 40895667›Full record

ArticleCureus2025

From Stories to Science: Mapping Global Trends in Narrative Medicine Research (2004-2024).

Guangbin Chen, Chunyan Xu, Ke Wang, Zhilin Wang, Guangming Xu, Xuelei Ji

Abstract readEditorial
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Bibliometric analysis of oncology communication from 1976 to 2025: a focus on narrative medicine.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Review
  2. Review
  3. 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

6 authors.

Guangbin ChenDepartment of Hepatobiliary Surgery, The Second People's Hospital of Wuhu, Wuhu Hospital Affiliated to East China Normal University, Wuhu, CHN.
Chunyan XuDepartment of Teaching and Research, The Second People's Hospital of Wuhu, Wuhu Hospital Affiliated to East China Normal University, Wuhu, CHN.
Ke WangGraduate School, Wannan Medical College, Wuhu, CHN.
Zhilin WangGraduate School, Wannan Medical College, Wuhu, CHN.
Guangming XuGraduate School, Wannan Medical College, Wuhu, CHN.
Xuelei JiDepartment of Teaching and Research, The Second People's Hospital of Wuhu, Wuhu Hospital Affiliated to East China Normal University, Wuhu, CHN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Narrative medicine is defined as a medical approach that utilizes the power of stories, both patients' illness narratives and healthcare providers' reflective accounts, to promote healing, foster empathy, and enhance the therapeutic relationship through close attention to the language, metaphor, and meaning embedded in illness experiences. Despite its growing importance in contemporary healthcare, comprehensive bibliometric analyses of narrative medicine research trends remain limited. This study aims to systematically map global research patterns, identify key contributors, and analyze thematic evolution in narrative medicine literature over the past two decades. We conducted a comprehensive bibliometric analysis using the Citexs platform to examine narrative medicine research published from 2004 to 2024. The PubMed database was systematically searched using Boolean search terms: "narrative medicine OR medical storytelling OR clinical narrative OR patient-centered narrative OR healthcare narrative OR personalized medicine narrative". Inclusion criteria encompassed English-language articles only. Publication trends, geographic distribution, institutional productivity, author contributions, and thematic analysis were evaluated using advanced bibliometric techniques and the BioBERT biomedical language representation model for disease entity analysis. A total of 28,029 English-language articles were identified, demonstrating exponential growth with a peak output of 5,063 articles in 2024. The United States led global research productivity with 7,933 articles (28.3%), followed by the United Kingdom (4,704 articles, 16.78%) and Italy (2,743 articles, 9.79%). The University of Toronto emerged as the most productive institution (432 publications). Keyword analysis revealed "systematic review", "COVID-19", "treatment", and "artificial intelligence" as the most frequent terms, indicating the field's responsiveness to contemporary healthcare challenges and technological integration. Disease entity analysis identified "Neoplasms" (5,282 articles), "Death" (4,948 articles), "Pain" (4,345 articles), "Inflammation" (4,338 articles), and "Depressive Disorder" (3,933 articles) as the most commonly studied conditions. This bibliometric analysis demonstrates narrative medicine's transformation from a niche concept to a mainstream healthcare approach with substantial academic recognition. The exponential publication growth reflects increasing institutional support and clinical integration of narrative approaches. Geographic concentration in developed healthcare systems suggests opportunities for global expansion, particularly in culturally diverse contexts. The emergence of artificial intelligence as a research hotspot indicates the field's adaptive capacity to incorporate technological advances while maintaining humanistic principles. The predominance of cancer, death, pain, and mental health conditions underscores narrative medicine's particular relevance in addressing complex psychosocial dimensions of patient care that traditional biomedical approaches cannot fully capture. These findings emphasize narrative medicine's critical role in humanizing modern medical practice and its essential contribution to patient-centered care delivery.

Indexed as

bibliometric analysishotspotsmedical humanitiesnarrative medicineresearch trends

Identifiers

PMID40895667
PMCPMC12399044

What OpenQuestion holds

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LicenceCC BY
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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.