Evidence map›Paper›PMID 37545062›Full record

ReviewSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2023

[Research Progress in Precision Nursing for Enhanced Recovery After Surgery].

Zhen Li, Hejing Liang, Shuli Guo, Na Guo

Open access · greenAbstract readEnglish AbstractReview
In one paragraph

Review in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Zhen LiDepartment of Clinical Nutrition, Peking Union Medical College Hospital, Beijing 100730, China.
Hejing LiangDepartment of Surgery, Peking Union Medical College Hospital, Beijing 100730, China.
Shuli GuoDepartment of Surgery, Peking Union Medical College Hospital, Beijing 100730, China.
Na GuoDepartment of Nursing, Peking Union Medical College Hospital, Beijing 100730, China.
Peking Union Medical College Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the evolution and development of the concepts of medicine, research concerning precision medicine and precision nursing is constantly expanding and deepening, creating new challenges and opportunities for the nursing practice of enhanced recovery after surgery (ERAS). In this paper, we reviewed the current status of research on precision nursing for ERAS, giving an overview of the application status of precision nursing in ERAS from the perspectives of precision nursing assessment, precision symptom management, precision nutrition support, and precision health education and nursing follow-up. In addition, we analyzed the challenges and their solutions for further promotion and application of precision nursing in ERAS, including strengthening the basic professional knowledge and skills, building a nursing information platform, and actively applying new tools and technologies. In the future, clinical nursing staffs should further utilize the relevant concepts and methods of precision nursing to optimize and improve perioperative patient care strategies, ensure patient safety, enhance the quality of nursing care, improve patient outcomes, and promote a more important role played by precision nursing in ERAS.

Indexed as

Enhanced Recovery After SurgeryHumansPerioperative CarePostoperative ComplicationsEnhanced recovery after surgeryPerioperative carePrecision nursingResearch progressReview

Identifiers

PMID37545062
PMCPMC10442634
OpenAlexW4385619943

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.