Evidence map›Paper›PMID 28442009›Full record

ReviewZhongguo fei ai za zhi = Chinese journal of lung cancer2017

[Enhanced Recovery after Surgery from Theory to Practice
What do We Need to Do?]

Guowei Che, Lunxu Liu, Qinghua Zhou

Open access · greenAbstract readReview
In one paragraph

Review in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. [Clinical Effect of Day Surgery in Patients with Lung Caner by Optimize Operating Process].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2020
    Article
  3. Review
  4. Review
  5. Article
  6. [What is Enhanced Recovery After Surgery: Humanity or Technology?]Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2018
    Article
  7. [Establishment and Optimization of Enhanced Recovery after Surgery System 
for Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2017
    Review
  8. [Enhanced Lung Recovery after Surgery, Is It A Necessary for Precision Therapy?]Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2017
    Review
  9. Review
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.

Guowei CheDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China.
Lunxu LiuDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China.
Qinghua ZhouLung Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China.
Sichuan University · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enhanced recovery after surgery (ERAS) is a paradigm shift in perioperative care, resulting in substantial improvements in clinical outcomes, shorter length of hospital stay and cost savings. But the current ERAS either by application of breadth or depth is not enough, why? The main reason is the lack of "operability, evaluation, repetition" ERAS protocol and suitable for clinical extensive application protocol. How to form the clinical available protocol? Operational mainly refers to the clinical scheme is simple and feasible, and protocol compliance is good; Evaluate refers to the methods used before, during and after are the objective evaluation criteria and plan; Repeatable is clinical scheme repeatability in the process of single or multiple center.

Indexed as

HumansLength of StayLung NeoplasmsPostoperative CareRecovery of Function

Identifiers

PMID28442009
PMCPMC5999679
OpenAlexW2756942977

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.