Evidence map›Paper›PMID 38349204›Full record

ArticleInternational journal of surgery (London, England)2024

Data-driven coaching to improve statewide outcomes in CABG: before and after interventional study.

Omar A V Mejia, Gabrielle B Borgomoni, Fabiane Letícia de Freitas, Lucas S Furlán, Bianca Maria M Orlandi, Marcos G Tiveron, Pedro Gabriel M de B E Silva, Marcelo A Nakazone, Marco A P de Oliveira, Valquíria P Campagnucci and 4 more

Open access · diamondAbstract readMulticenter Study
In one paragraph

Article in International journal of surgery (London, England), 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
2.4field-weighted citation impact, top 11% 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, 6 citations in OpenAlex.

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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

14 authors at 7 institutions in 3 countries.

Omar A V MejiaInstituto do Coração (InCor), Hospital das Clínicas HCFMUSP, Faculty of Medicine, University of São Paulo.
Gabrielle B BorgomoniInstituto do Coração (InCor), Hospital das Clínicas HCFMUSP, Faculty of Medicine, University of São Paulo.
Fabiane Letícia de FreitasInstituto do Coração (InCor), Hospital das Clínicas HCFMUSP, Faculty of Medicine, University of São Paulo.
Lucas S FurlánInstituto do Coração (InCor), Hospital das Clínicas HCFMUSP, Faculty of Medicine, University of São Paulo.
Bianca Maria M OrlandiInstituto do Coração (InCor), Hospital das Clínicas HCFMUSP, Faculty of Medicine, University of São Paulo.
Marcos G TiveronIrmandade da Santa Casa de Misericórdia de Marília, Marília.
Pedro Gabriel M de B E SilvaHospital Samaritano Paulista.
Marcelo A NakazoneHospital De Base de São José do Rio Preto, São José de Rio Preto.
Marco A P de OliveiraBeneficência Portuguesa de São Paulo.
Valquíria P CampagnucciIrmandade da Santa Casa de Misericórdia de São Paulo, São Paulo, São Paulo, Brazil.
Sharon-Lise NormandDepartment of Health Care Policy, Harvard Medical School.
Roger D DiasHarvard Medical School, Boston, Massachusetts, USA.
Fábio B JateneInstituto do Coração (InCor), Hospital das Clínicas HCFMUSP, Faculty of Medicine, University of São Paulo.
REPLICCAR Study Group
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRHospital Samaritano de São Paulo · BRHarvard University · USBeneficência Portuguesa de São Paulo · BRHospital de Base · BRIrmandade da Santa Casa de Misericórdia de São Paulo · BRSanta Casa de Misericórdia de Marília · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe impact of quality improvement initiatives program (QIP) on coronary artery bypass grafting surgery (CABG) remains scarce, despite improved outcomes in other surgical areas. This study aims to evaluate the impact of a package of QIP on mortality rates among patients undergoing CABG. MATERIALS AND

methodsThis prospective cohort study utilized data from the multicenter database Registro Paulista de Cirurgia Cardiovascular II (REPLICCAR II), spanning from July 2017 to June 2019. Data from 4018 isolated CABG adult patients were collected and analyzed in three phases: before-implementation, implementation, and after-implementation of the intervention (which comprised QIP training for the hospital team). Propensity Score Matching was used to balance the groups of 2170 patients each for a comparative analysis of the following outcomes: reoperation, deep sternal wound infection/mediastinitis ≤30 days, cerebrovascular accident, acute kidney injury, ventilation time >24 h, length of stay <6 days, length of stay >14 days, morbidity and mortality, and operative mortality. A multiple regression model was constructed to predict mortality outcomes.

resultsFollowing implementation, there was a significant reduction of operative mortality (61.7%, P =0.046), as well as deep sternal wound infection/mediastinitis ( P <0.001), sepsis ( P =0.002), ventilation time in hours ( P <0.001), prolonged ventilation time ( P =0.009), postoperative peak blood glucose ( P <0.001), total length of hospital stay ( P <0.001). Additionally, there was a greater use of arterial grafts, including internal thoracic ( P <0.001) and radial ( P =0.038), along with a higher rate of skeletonized dissection of the internal thoracic artery.

conclusionsQIP was associated with a 61.7% reduction in operative mortality following CABG. Although not all complications exhibited a decline, the reduction in mortality suggests a possible decrease in failure to rescue during the after-implementation period.

Indexed as

Coronary Artery BypassQuality ImprovementAgedFemaleHumansMaleMentoringMiddle AgedPostoperative ComplicationsPropensity ScoreProspective Studies

Identifiers

PMID38349204
PMCPMC11093505
OpenAlexW4391786640

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.