Evidence map›Paper›PMID 29552522›Full record

ReviewJournal of visualized surgery2018

Enhanced Recovery After Surgery: a patient centered process.

Marco Taurchini, Carlo Del Naja, Antonio Tancredi

Registry-linked trialAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of visualized surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05511194 (Safety and Efficacy of Enhanced Recovery After Surgery Therapeutic Protocol for Complicated Appendicitis in Children), which is not on this map. Cited by 36 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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.

NCT05511194 naunknown statusnot on this mapstarted 2022, after this paper: background citation

Safety and Efficacy of Enhanced Recovery After Surgery Therapeutic Protocol for Complicated Appendicitis in Children

TypeinterventionalSponsorInstituto Mexicano del Seguro SocialRan2022 to 2023Enrolled40ConditionsEnhanced Recovery After Surgery, Appendicitis, Children, OnlyArmsEnhanced Recovery After Surgery therapeutic protocol, Conventional management
3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

3 authors.

Marco TaurchiniThoracic Surgery Unit, IRCCS "Casa Sollievo della Sofferenza" Hospital, Viale Cappuccini, San Giovanni Rotondo, Foggia, Italy.
Carlo Del NajaThoracic Surgery Unit, IRCCS "Casa Sollievo della Sofferenza" Hospital, Viale Cappuccini, San Giovanni Rotondo, Foggia, Italy.
Antonio TancrediThoracic Surgery Unit, IRCCS "Casa Sollievo della Sofferenza" Hospital, Viale Cappuccini, San Giovanni Rotondo, Foggia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Enhanced Recovery After Surgery (ERAS) is a model of care introduced in 1997 by a group of general surgeons from Northern Europe led by Henrik Kehlet. The core of this approach is to produce improvements in surgical patient outcomes, especially in the reduction of hospital stay, complications rate, early recovery and reduction of economic burdens. Simply elaborating and establishing a protocol is not enough and much more efforts and changes are needed to achieve the aim to offer a sustainable improvement in the overall quality of patient care, therefore, ERAS is not a single and rigid protocol but is a method, a "modus operandi", a new way of multidisciplinary teamwork with readiness to make changes as knowledge evolves, i.e., a revolution of medical-scientific thought: we have to move from the concept of "management of disease" to that of "health promotion".

Indexed as

Enhanced Recovery After Surgery (ERAS)patient centered approachthoracic surgery

Identifiers

PMID29552522
PMCPMC5847857

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.