Evidence map›Paper›PMID 35469235›Full record

ArticleJournal of healthcare engineering2022

The Efficacy of Rehabilitation Nursing Interventions on Patients with Open Lower Limb Fractures.

Zengfen Pang, Meimei Shan, Yuanyuan Li, Huan Zhang, Amei Huang, Yuping Liu, Xianghong Li

Open access · hybridAbstract read
In one paragraph

Article in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Zengfen PangThe Affiliated Cancer Hospital of Shandong First Medical University, Jinan, Shandong, China.ORCID 0000-0002-4896-2503
Meimei ShanThe Affiliated Cancer Hospital of Shandong First Medical University, Jinan, Shandong, China.
Yuanyuan LiThe Affiliated Cancer Hospital of Shandong First Medical University, Jinan, Shandong, China.
Huan ZhangThe Affiliated Cancer Hospital of Shandong First Medical University, Jinan, Shandong, China.
Amei HuangThe Affiliated Cancer Hospital of Shandong First Medical University, Jinan, Shandong, China.
Yuping LiuChinese Nursing Society, Beijing, China.
Xianghong LiThe Affiliated Cancer Hospital of Shandong First Medical University, Jinan, Shandong, China.
Shandong First Medical University · CNChinese Nutrition Society · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The study aims to analyze the efficacy of rehabilitation nursing interventions on patients with open lower limb fractures. Methods: From June 2020, patients who received RNI (observation group) were included and compared with patients who received routine nursing interventions (control group). The efficacy of different nursing modes was compared with several indicators. Results: One hundred patients were included in this study, 50 in each group. The baseline characteristics were not significantly different between the groups. Regarding the emotional scores, the Self-Rating Anxiety Scale (SAS) score (26.98 vs 43.47), and Distress Management Screening Measure (DMSM) score (8.01 vs 12.85) in the observation group were significantly lower than those in the control group, both Conclusion: Patients with open lower limbs who received RNI can help patients reduce postoperative anxiety and stress, promote postoperative rehabilitation and improve their quality of life.

Indexed as

Fractures, BoneRehabilitation NursingAnxietyHumansLower ExtremityQuality of Life

Identifiers

PMID35469235
PMCPMC9034910
OpenAlexW4223911886

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.