Evidence map›Paper›PMID 37620255›Full record

ArticleBMJ open2023

Impact of SARS-CoV-2 infection on postoperative complications of patients undergoing surgery after general outbreak in China: a protocol for multicentre prospective cohort study.

Ziyu Zheng, Baobao Gao, Gang Luo, Lini Wang, Chong Lei

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05677815 (The Effect of COVID-19 Infection on Post-operative Complications in Patients Underwent Surgery During the COVID-19 to Lift the Lockdown in China), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 32% 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.

NCT05677815 completednot on this map

The Effect of COVID-19 Infection on Post-operative Complications in Patients Underwent Surgery During the COVID-19 to Lift the Lockdown in China: Cohort Stdy

TypeobservationalSponsorXijing HospitalRan2023 to 2023Enrolled3,350ConditionsCOVID-19, Surgery, Postoperative ComplicationsArmsUnderwent Surgery from 2019 to 2022
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

5 authors at 1 institution in 1 country.

Ziyu ZhengDepartment of Anesthesiology and Perioperative Medicine,Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.ORCID 0000-0001-8221-3541
Baobao GaoDepartment of Anesthesiology and Perioperative Medicine,Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Gang LuoDepartment of Anesthesiology and Perioperative Medicine,Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Lini WangDepartment of Anesthesiology and Perioperative Medicine,Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Chong LeiDepartment of Anesthesiology and Perioperative Medicine,Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China crystalleichong@126.com.ORCID 0000-0003-4259-4479
Xijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThere is currently limited evidence addressing perioperative prognosis of surgical patients during COVID-19 pandemic; especially targeting on the Chinese population since the wave in 2022. Considering a distinct feature from the rest of the world demonstrated and the fast mutation and spread of the virus, evidence most relevant to China is urgently in need. The objective of this study is to seek for supporting evidence via evidence-based risk evaluations for postoperative complications to accumulate experience for coming infection waves. METHODS AND ANALYSIS: This protocol proposes a multicentral, prospective, observational cohort study aiming to explore the link between SARS-CoV-2 infection and postoperative complications among surgical patients under general or regional anaesthesia between 16 January 2023 and 31 December 2023. A retrospective cohort covering the same period in 2019 is extracted for historic reference. Data are extracted from the health information system and anaesthesia information management system. The COVID-19 information is collected via an online survey. Missing values in weight or height will be imputed by each other with age and gender via multiple imputation. Other missing values will not be handled specially. Standard descriptive statistics will be reported followed by statistical modelling. Binomial regression with logit link is used for binary outcome. The time-to-event outcome is analysed using Cox regression with discharge from hospital further treated as a competing state. Hierarchical models will be assessed to account for temporal or central random effects. Temporal trends will be displayed with future expectations. ETHICS AND DISSEMINATION: Ethical approval is obtained from the ethical committee in Xijing Hospital (No. KY20232002-C-1); approvals are expected for each participating institute. Verbal consent will be informed and obtained prior to online survey collection. Personal information remains confidential, and publications will be deidentified. TRIAL REGISTRATION NUMBER: NCT05677815.

Indexed as

Anesthesia, ConductionCOVID-19ChinaDisease OutbreaksHumansMulticenter Studies as TopicObservational Studies as TopicPandemicsPostoperative ComplicationsProspective StudiesRetrospective StudiesSARS-CoV-2ANAESTHETICSCOVID-19PUBLIC HEALTH

Identifiers

PMID37620255
PMCPMC10450065
OpenAlexW4386148203

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.