Evidence map›Paper›PMID 38576736›Full record

ArticleWorld journal of clinical cases2024

Multidisciplinary approach toward enhanced recovery after surgery for total knee arthroplasty improves outcomes.

Deb Sanjay Nag, Amlan Swain, Seelora Sahu, Ayaskant Sahoo, Gunjan Wadhwa

Open access · diamondAbstract readEditorial
In one paragraph

Article in World journal of clinical cases, 2024. 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
2.0field-weighted citation impact, top 13% 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, 5 citations in OpenAlex.

  1. Trial
  2. Article
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  4. Review
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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

5 authors at 2 institutions in 1 country.

Deb Sanjay NagDepartment of Anaesthesiology, Tata Main Hospital, Jamshedpur 831001, India. ds.nag@tatasteel.com.
Amlan SwainDepartment of Anaesthesiology, Tata Main Hospital, Jamshedpur 831001, India.
Seelora SahuDepartment of Anaesthesiology, Tata Main Hospital, Jamshedpur 831001, India.
Ayaskant SahooDepartment of Anaesthesiology, Manipal Tata Medical College, Jamshedpur 831001, India.
Gunjan WadhwaDepartment of Anaesthesiology, Tata Main Hospital, Jamshedpur 831001, India.
Tata Main Hospital · INTata Steel (India) · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knee osteoarthritis is a degenerative disorder of the knee, which leads to joint pain, stiffness, and inactivity and significantly affects the quality of life. With an increased prevalence of obesity and greater life expectancies, total knee arthroplasty (TKA) is now one of the major arthroplasty surgeries performed for knee osteoarthritis. When enhanced recovery after surgery (ERAS) was introduced in TKA, clinical outcomes were enhanced and the economic burden on the healthcare system was reduced. ERAS is an evidence-based scientific protocol aimed at ameliorating the surgical stress response. ERAS aims to enhance the recovery phase, which encompasses multidisciplinary strategies at every step of perioperative care, including the rehabilitation phase. Implementation of ERAS in TKA aids in reducing the length of hospital stay, improving pain management, reducing perioperative complications, and enhancing patient satisfaction. Multidisciplinary collaboration, integrating the expertise of anesthesiologists, orthopedic surgeons, nursing personnel, and other healthcare professionals, is the cornerstone of ERAS in patients undergoing TKA.

Indexed as

AnesthesiaArthroplastyCareKneeNursingRecovery of functionReplacement

Identifiers

PMID38576736
PMCPMC10989428
OpenAlexW4393155279

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.