Evidence map›Paper›PMID 35726226›Full record

Trial reportComputational and mathematical methods in medicine2022

Effect of Painless Rehabilitation Nursing for Hip Replacement Patients.

Xiaona Zhao, Ru Bai, Jing Yang

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 3 pooled it
1.5field-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

5 citing papers in PubMed, 3 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Application of omnibearing operating room nursing in total hip arthroplasty and its influence on postoperative pain.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas · 2026
    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

3 authors at 2 institutions in 1 country.

Xiaona ZhaoYuncheng Central Hospital, Yuncheng, China.
Ru BaiYuncheng Vocational and Technical University, Yuncheng, China.
Jing YangNursing College of Shanxi Medical University, Shanxi, China.ORCID https://orcid.org/0000-0003-3530-3207
Yuncheng University · CNShanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze the effect of painless rehabilitation nursing for hip replacement patients. Method: 124 elderly patients who underwent total knee arthroplasty in our hospital from June 2019 to June 2020 were selected as study subjects. They were randomly divided into observation group and control group. The control group was given routine nursing care, and the observation group was given painless rehabilitation care on the basis of the control group. Knee circumference, knee pain, knee function, agitation and sleep duration were recorded and compared between the two groups. Results: The changes of knee circumference diametral in both groups were significantly decreased at 1, 3 and 7 days after operation; The changes of knee circumference diametral in the observation group were significantly smaller than those in the control group at 3,7 days after operation ( Conclusion: Perioperative painless rehabilitation nursing interventions for patients with hip replacement could significantly relieve swelling and pain, it was helpful for the patients to recover the function of knee joint after operation and worthy of clinical application.

Indexed as

Arthroplasty, Replacement, KneeOsteoarthritis, KneeRehabilitation NursingAgedHumansKnee JointPainTreatment Outcome

Identifiers

PMID35726226
PMCPMC9206556
OpenAlexW4285744702

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.