Evidence map›Paper›PMID 35979622›Full record

ReviewTechnology in cancer research & treatment

Feasibility of ERAS in Patients With Gastric Cancer Complicated by Diabetes Mellitus.

Ying Wang, He Han, Said Abdulrahman Salim Mzee, Deqian Wang, Jixiang Chen, Xin Fan

Open access · goldAbstract readReview
In one paragraph

Review in Technology in cancer research & treatment. 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
0.4field-weighted citation impact, top 37% 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

0 citing papers in PubMed, 2 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

6 authors at 1 institution in 1 country.

Ying Wang191612Affiliated Hospital of Jiangsu University, Zhenjiang, China.
He Han191612Affiliated Hospital of Jiangsu University, Zhenjiang, China.ORCID 0000-0002-0048-811X
Said Abdulrahman Salim Mzee191612Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Deqian Wang
Jixiang Chen191612Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Xin Fan191612Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Jiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enhanced Recovery After Surgery (ERAS) is the integration of multiple perioperative evidence-based medical practices into a single pathway aimed at eliminating surgical liabilities and improving treatment accuracy to enhance patients' postoperative outcomes. The ERAS Society has been developing guidelines that are widely applicable in the surgical field. ERAS pathways in selective and noncomplicated cases are extensively practiced. However, the ERAS literature excludes patients with comorbidities, such as gastric cancer complicated with diabetes mellitus (DM). Current ERAS guidelines exclude patients with DM in enhanced recovery programs because of insufficient evidence-based medicine on the molecular physiology of the patients in response to surgical insult. Therefore, it is important to implement accelerated rehabilitation surgery for patients with gastric cancer and DM. This review discusses the feasibility and necessity of applying ERAS guidelines to patients with gastric cancer complicated by DM. In addition, we documented the need to lay a logical foundation for enhanced recovery after surgery in patients with gastric cancer complicated by DM.

Indexed as

Diabetes MellitusEnhanced Recovery After SurgeryStomach NeoplasmsFeasibility StudiesHumansLength of StayPostoperative Complicationsenhanced recovery after surgeryfeasibilitygastric cancer complicated with diabetes mellituslogic foundationnecessity

Identifiers

PMID35979622
PMCPMC9393351
OpenAlexW4293278055

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.