Evidence map›Paper›PMID 37578982›Full record

ArticlePloS one2023

Patients' characteristics and 30-day mortality for those undergoing elective surgeries during the COVID-19 pandemic in Bangladesh.

Shakera Ahmed, Anwarul Karim, Tanvir Kabir Chowdhury, Orindom Shing Pulock, Nowrin Tamanna, Mastura Akter, Puja Biswas, Fahmida Afroz, Susmita Dey Pinky, Anika Nahrin Alabbi and 9 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. 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
0.2field-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.

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, 1 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

19 authors at 5 institutions in 3 countries.

Shakera AhmedChittagong Research Institute for Children Surgery, Chattogram, Bangladesh.
Anwarul KarimChittagong Research Institute for Children Surgery, Chattogram, Bangladesh.ORCID 0000-0002-5795-6674
Tanvir Kabir ChowdhuryChittagong Research Institute for Children Surgery, Chattogram, Bangladesh.ORCID 0000-0002-1661-2111
Orindom Shing PulockChittagong Research Institute for Children Surgery, Chattogram, Bangladesh.
Nowrin TamannaChittagong Research Institute for Children Surgery, Chattogram, Bangladesh.ORCID 0000-0002-1504-7237
Mastura AkterChittagong Research Institute for Children Surgery, Chattogram, Bangladesh.
Puja BiswasChittagong Medical College and Hospital, Chattogram, Bangladesh.
Fahmida AfrozChittagong Medical College and Hospital, Chattogram, Bangladesh.
Susmita Dey PinkyChittagong Medical College and Hospital, Chattogram, Bangladesh.
Anika Nahrin AlabbiChittagong Medical College and Hospital, Chattogram, Bangladesh.
Tasnuba Raisa JamilChittagong Medical College and Hospital, Chattogram, Bangladesh.
Zarin TasnimChittagong Medical College and Hospital, Chattogram, Bangladesh.
Dipa DevChittagong Medical College and Hospital, Chattogram, Bangladesh.
Mraching MarmaChittagong Medical College and Hospital, Chattogram, Bangladesh.
Tasmiah Tahera AzizChittagong Research Institute for Children Surgery, Chattogram, Bangladesh.ORCID 0000-0002-0967-7689
Hafiz Ahmed Nazmul HakimDhaka Medical College and Hospital, Dhaka, Bangladesh.
A K M Khairul BasherDhaka Medical College and Hospital, Dhaka, Bangladesh.
Nur Hossain Bhuiyan ShahinDhaka Medical College and Hospital, Dhaka, Bangladesh.
Tahmina BanuChittagong Research Institute for Children Surgery, Chattogram, Bangladesh.ORCID 0000-0003-3230-3973
Chittagong Medical College · BDDhaka Medical College and Hospital · BDChinese University of Hong Kong · HKCity University of Hong Kong · HKUniversity of South Carolina · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has significantly impacted the surgical practice throughout the world, including elective surgical care. This study investigated the characteristics of patients undergoing elective surgery, the prevalence of COVID-19 infection, the surgical procedures performed, and 30-day mortality in general and pediatric surgical settings in selected tertiary-level hospitals in Bangladesh from November 2020 to August 2021.

methodsThis serial cross-sectional study included 264 patients scheduled for elective surgeries during the study period. All patients underwent COVID-19 real-time polymerase chain reaction (RT-PCR) testing within 24 hours before surgery. Data on age, sex, common comorbidities, surgical procedures, and 30-day mortality were collected and analyzed. Furthermore, comparisons were made between COVID-19 positive and negative patients.

resultsThe prevalence of COVID-19 infection among patients was 10.6%. Older age, a history of major surgery within the last three months, hypertension, and diabetes mellitus were significantly associated with COVID-19 infection. All COVID-19-negative patients underwent surgery, while only 46.4% of COVID-19-positive patients underwent surgery. The most common surgical procedures were related to the digestive system, breast, and urinary system. Only one patient (0.4%) died within 30 days after surgery among the COVID-19-negative patients, whereas two patients (7.1%) died among the COVID-19-positive patients: one before surgery and one after surgery.

conclusionsThis study provides valuable insights into the characteristics, burden of COVID-19 infection, and 30-day mortality of patients undergoing elective surgery in tertiary care centers in Bangladesh during the pandemic.

Indexed as

COVID-19Elective Surgical ProceduresAdolescentAdultAgedBangladeshChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantInfant, NewbornMaleMiddle AgedMortality

Identifiers

PMID37578982
PMCPMC10424860
OpenAlexW4385802250

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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.