Evidence map›Paper›PMID 36735661›Full record

ArticlePloS one2023

Using computed tomography to evaluate proper chest compression depth for cardiopulmonary resuscitation in Thai population: A retrospective cross-sectional study.

Pongsakorn Atiksawedparit, Thanaporn Sathapornthanasin, Phanorn Chalermdamrichai, Pitsucha Sanguanwit, Nitima Saksobhavivat, Ratchanee Saelee, Phatthranit Phattharapornjaroen

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
0.7field-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, 2 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

7 authors at 1 institution in 1 country.

Pongsakorn AtiksawedparitFaculty of Medicine Ramathibodi Hospital, Chakri Naruebodindra Medical Institute, Mahidol University, Bangkok, Thailand.
Thanaporn SathapornthanasinFaculty of Medicine Ramathibodi Hospital, Department of Emergency Medicine, Mahidol University, Bangkok, Thailand.
Phanorn ChalermdamrichaiFaculty of Medicine Ramathibodi Hospital, Department of Emergency Medicine, Mahidol University, Bangkok, Thailand.
Pitsucha SanguanwitFaculty of Medicine Ramathibodi Hospital, Department of Emergency Medicine, Mahidol University, Bangkok, Thailand.
Nitima SaksobhavivatFaculty of Medicine Ramathibodi Hospital, Department of Diagnostic and Therapeutic Radiology, Mahidol University, Bangkok, Thailand.ORCID 0000-0002-0789-7792
Ratchanee SaeleeFaculty of Medicine Ramathibodi Hospital, Department of Internal Medicine, Mahidol University, Bangkok, Thailand.
Phatthranit PhattharapornjaroenFaculty of Medicine Ramathibodi Hospital, Department of Emergency Medicine, Mahidol University, Bangkok, Thailand.ORCID 0000-0002-4391-2929
Mahidol University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe effectiveness of cardiopulmonary resuscitation is determined by appropriate chest compression depth and rate. The American Heart Association recommended CC depth at 5-6 cm to indicate proper cardiac output during cardiac arrest. However, many studies showed the differences in the body builds between Caucasians and Asians. Therefore, this study aimed to determine heart compression fraction (HCF) in the Thai population by using contrast-enhanced computed tomography (CT) scan of the chest and a mathematical model. MATERIALS AND

methodsConsecutive contrast-enhanced CT scans of the chest performed at Ramathibodi Hospital were retrospectively reviewed from January to March 2018 by two independent radiologists. Patients' characteristics, including gender, age, weight, height, and pre-existing diseases, were recorded, and the chest parameters were measured from a CT scan. The heart compression fraction (HCF) was subsequently calculated.

resultsOf 306 subjects, there were 139 (45.4%) males, 148 (47.4%) lung diseases and 10 (3.3%) heart diseases. Mean age and BMI were 60.4 years old and 23.8 kg/m2, respectively. Chest diameter, heart diameter, and non-cardiac soft tissue were significantly smaller in females compared to males. Mean (SD) HCF proportional with 50 mm and 60 mm depth were 38.3% (13.3%) and 50% (14.3%), respectively. There were significant differences of HCF proportional by 50 mm and 60 mm depth between men and women (33.2% vs 42.6% and 44% vs 54.9%, respectively (P<0.001)). In addition, a decrease in HCF was significantly observed among higher BMI groups.

conclusionThe CT scan and mathematical model showed that 38% and 50% HCF proportions were generated by 50 mm and 60 mm CC depth. HCF proportions were significantly different between genders and among BMI groups. The recommended depth of 5-6 cm is likely to provide sufficient CC depth in the population of Thailand.

Indexed as

Cardiac TamponadeCardiopulmonary ResuscitationCross-Sectional StudiesFemaleHeart MassageHumansMaleMiddle AgedRetrospective StudiesSoutheast Asian PeopleThailandTomography, X-Ray Computed

Identifiers

PMID36735661
PMCPMC9897514
OpenAlexW4319062380

What OpenQuestion holds

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LicenceCC BY
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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.