Evidence map›Paper›PMID 37491813›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2023

Unveiling the Hidden Burden: Mapping the Landscape of Post-Intensive Care Syndrome Research. A Bibliometric Study and Visualization Analysis.

Xiayahu Li, Yaolin Li

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2023. 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. 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

2 authors.

Xiayahu LiDepartment of Critical Care Medicine, Chengdu Second People's Hospital, Chengdu, Sichuan, China (mainland).
Yaolin LiDepartment of Pulmonary and Critical Care Medicine, The Third People's Hospital of Chengdu, Chengdu, Sichuan, China (mainland).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Post-intensive care syndrome (PICS) has become a major concern for patients and their families due to the rising number of ICU admissions. We conducted a bibliometric analysis to identify hotspots and trends in PICS research. MATERIAL AND METHODS We searched for PICS-related publications in the Web of Science Core Collection up to May 1, 2022. We used CiteSpace, VOSviewer, and Scimago Graphica to analyze collaboration among countries, institutions, and authors, and to identify research hotspots and frontiers. RESULTS Our analysis included 294 research papers on PICS, with the United States leading the field with 146 published papers. Collaboration among institutions and authors was active mainly in the Americas, Europe, and Australia. Highly cited researchers were members of the Outcomes After Critical Illness and Surgery (OACIS) Group, with Ramona O Hopkins as the most published author. Research topics focused on septic shock, COVID-19, qualitative research, and rehabilitation, with publications primarily in critical care medicine journals. Keyword analysis revealed that the main research focus included stress disorders, quality of life, mechanical ventilation, acute lung injury, risk factors, and descriptive studies during hospitalization. CONCLUSIONS PICS research is limited, focusing primarily on short-term clinical effects and lacking long-term prognostic observations and multinational studies. Increased collaboration among countries and regions is necessary to advance research in this field. Hotspots in research focus on prognosis and an integrated approach to management.

Indexed as

COVID-19BibliometricsCritical IllnessHumansQuality of Life

Identifiers

PMID37491813
PMCPMC10389114

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.