Evidence map›Paper›PMID 33618912›Full record

ArticleArchives of medical research2021

Surgical Outcomes During COVID-19 Pandemic.

Andrea Nachon-Acosta, Gustavo Martinez-Mier, Victor Flores-Gamboa, Octavio Avila-Mercado, Indira Morales Garcia, Carlos Yoldi-Aguirre, Irais Olivares-Garcia, Maritza De la Paz-Roman

Abstract read
In one paragraph

Article in Archives of medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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.

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

11 citing papers in PubMed.

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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

8 authors.

Andrea Nachon-AcostaDepartamento de Cirugía General, Unidad Médica de Alta Especialidad, Hospital Especialidades 14, Adolfo Ruiz Cortines, Instituto Mexicano del Seguro Social, Veracruz, México.
Gustavo Martinez-MierDepartamento de Cirugía General, Unidad Médica de Alta Especialidad, Hospital Especialidades 14, Adolfo Ruiz Cortines, Instituto Mexicano del Seguro Social, Veracruz, México; Departamento de Investigaciones, Unidad Médica de Alta Especialidad, Hospital Especialidades 14 Adolfo Ruiz Cortines, Instituto Mexicano del Seguro Social, Veracruz, México; Departamento de Trasplante de Órganos, Unidad Médica de Alta Especialidad, Hospital Especialidades 14, Adolfo Ruiz Cortines, Instituto Mexicano del Seguro Social, Veracruz, México. Electronic address: gmtzmier@gmail.com.
Victor Flores-GamboaDepartamento de Trasplante de Órganos, Unidad Médica de Alta Especialidad, Hospital Especialidades 14, Adolfo Ruiz Cortines, Instituto Mexicano del Seguro Social, Veracruz, México.
Octavio Avila-MercadoDepartamento de Trasplante de Órganos, Unidad Médica de Alta Especialidad, Hospital Especialidades 14, Adolfo Ruiz Cortines, Instituto Mexicano del Seguro Social, Veracruz, México.
Indira Morales GarciaDepartamento de Oncología Quirúrgica, Unidad Médica de Alta Especialidad, Hospital Especialidades 14, Adolfo Ruiz Cortines, Instituto Mexicano del Seguro Social, Veracruz, México.
Carlos Yoldi-AguirreDepartamento de Oncología Quirúrgica, Unidad Médica de Alta Especialidad, Hospital Especialidades 14, Adolfo Ruiz Cortines, Instituto Mexicano del Seguro Social, Veracruz, México.
Irais Olivares-GarciaDepartamento de Epidemiología, Unidad Médica de Alta Especialidad, Hospital Especialidades 14, Adolfo Ruiz Cortines, Instituto Mexicano del Seguro Social, Veracruz, México.
Maritza De la Paz-RomanUnidad Médica de Alta Especialidad, Hospital Especialidades 14, Adolfo Ruiz Cortines Veracruz, México.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn December 2019, an outbreak of a novel coronavirus (COVID-19) occurred in China and became pandemic in March 2020. Patients undergoing surgery are a vulnerable risk of COVID-19 exposure/infection. The aim of the study was to determine the characteristics and outcomes of patients undergoing surgery during the COVID-19 pandemic in a third level reference hospital in Mexico.

methodIRB approved observational study (prospectively collected database) of general and surgical oncology procedures from 04/20-08/20. Patients preoperative data and surgical cases registered. COVID-19 detection was a combination of polymerase chain reaction swab and chest computed tomography. Primary endpoints were: 30 d surgical mortality and complications, including COVID-19 infection during hospitalization.

results193 patients were included (mean age: 53.9 years, 63.7% female). 52.8% procedures were performed by surgical oncology. 42.4% developed a complication with 8.3% mortality. COVID-19 infection was 11.3% (n = 22). Postoperative morbidity (81.3 vs. 37.4%, p = 0.0001) and mortality (27.3 vs. 5.8%, p = 0.0001) was higher in COVID-19 (+) patients. Factors associated with COVID-19 infections were sex, functional status, preoperative sepsis and ventilation, renal failure and dialysis (univariate analysis) and sepsis and renal failure (multivariate analysis). COVID-19 infection was associated with respiratory complications (54.5 vs. 2.9%), surgical site infection (27.3 vs. 10.5%), postoperative transfusions (59.1 vs. 31.6%), renal failure (54.5 vs. 8.2%), sepsis (68.2 vs. 22.2%), reintervention (22.7 vs. 7.6%), readmission (18.2 vs. 4.1%), and death (27.3 vs. 5.8%) (p <0.05).

conclusionPostoperative morbidity and mortality in COVID-19 patients is high. Surgical procedures should be thoughtfully reviewed with a plan to minimize scheduled operations.

Indexed as

COVID-19Cross InfectionFemaleHospitalizationHumansMaleMexicoMiddle AgedPostoperative ComplicationsSARS-CoV-2Surgical Procedures, OperativeComplicationsCoronavirusCOVID-19MorbidityMortalityOutcomesSARS-CoV-2Surgery

Identifiers

PMID33618912
PMCPMC7825836

What OpenQuestion holds

Textmetadata
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.