Evidence map›Paper›PMID 36244951›Full record

ArticleChinese journal of traumatology = Zhonghua chuang shang za zhi2023

Comparing epidemiologic features, outcomes, and diagnostic and therapeutic procedures of traumatic patients before and during COVID-19 pandemic: Data from the National Trauma Registry of Iran.

Maryam Baradaran-Binazir, Vali Baigi, Mohammad Reza Zafarghandi, Vafa Rahimi-Movaghar, Moein Khormali, Payman Salamati

Open access · diamondAbstract read
In one paragraph

Article in Chinese journal of traumatology = Zhonghua chuang shang za zhi, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Review
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

6 authors at 2 institutions in 1 country.

Maryam Baradaran-BinazirCommunity and Family Medicine Department, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
Vali BaigiSina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Reza ZafarghandiSina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Vafa Rahimi-MovagharSina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Moein KhormaliSina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Payman SalamatiSina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran. Electronic address: psalamati@tums.ac.ir.
Tehran University of Medical Sciences · IRTabriz University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo prepare for future possible communicable disease epidemics/pandemics, health care providers should know how the COVID-19 pandemic influenced injured patients. This study aimed to compare epidemiologic features, outcomes, and diagnostic and therapeutic procedures of trauma patients admitted to a university-affiliated hospital before and during the pandemic.

methodsThis retrospective study was performed on data from the National Trauma Registry of Iran. All injured patients admitted to the hospital from July 25, 2016 to March 10, 2021 were included in the study. The patients were excluded if they had hospital length of stay less than 24 h. The injury outcomes, trauma mechanisms, and therapeutic and diagnostic procedures of the 2 periods: before (from July 25, 2016 to February 18, 2020) and during (from February 19, 2020 to March 10, 2021) COVID-19 pandemic were compared. All analyses were performed using STATA version 14.0 software (Stata Corporation, College Station, TX).

resultsTotally, 5014 patients were included in the registry. Of them, 773 (15.4%) were registered after the beginning of the COVID-19 pandemic on February 19, 2020, while 4241 were registered before that. Gender, education level, and cause of injury were significantly different among the patients before and after the beginning of the pandemic (p < 0.001). In the ≤ 15 years and ≥ 65 years age groups, injuries decreased significantly during the COVID-19 pandemic (p < 0.001). The frequency of intensive care unit (ICU) admission decreased from 694 (16.4%) to 88 (11.4%) (p < 0.001). The mean length of stay at the hospital (days) and at the ICU (days) declined as follow: 8.3 (SD = 17.2) vs. 5.5 (SD = 6.1), p < 0.001 and 7.5 (SD = 11.5) vs. 4.5 (SD = 6.3), p < 0.022. The frequency of diagnostic and therapeutic procedures before and during the pandemic was as follows, respectively: ultrasonography 905 (21.3%) vs. 417 (53.9%) (p < 0.001), echocardiography 313 (7.4%) vs. 107 (13.8%) (p < 0.001), angiography 1597 (37.7%) vs. 534 (69.1%) (p < 0.001), MRI 166 (3.9%) vs. 51 (6.6%) (p < 0.001), surgery 3407 (80.3%) vs. 654 (84.6%) (p < 0.001), and internal/external fixation 1215 (28.6%) vs. 336 (43.5%) (p < 0.001).

conclusionThe pandemic affected the epidemiology of traumatic patients in terms of gender, age, educational level, and trauma mechanism. It changed the outcomes of injured patients: ICU admission, length of stay at the hospital and ICU decreased. The patients received more diagnostic and therapeutic procedures during the pandemic. To be more precise, more research is needed on the details.

Indexed as

COVID-19COVID-19 TestingHumansIntensive Care UnitsIranPandemicsRegistriesRetrospective StudiesTrauma CentersCOVID-19PandemicRegistryWounds and injuries

Identifiers

PMID36244951
PMCPMC9464361
OpenAlexW4295166324

What OpenQuestion holds

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Registered trials

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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.