Evidence map›Paper›PMID 38273250›Full record

ArticleBMC emergency medicine2024

Factors associated with serious abdominal conditions in geriatric patients visiting the emergency department.

Ar-Aishah Dadeh, Wasitthee Uppakarnnuntakul

Open access · goldAbstract read
In one paragraph

Article in BMC emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.1field-weighted citation impact, top 16% 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, 3 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Ar-Aishah DadehDepartment of Emergency Medicine, Faculty of Medicine, Songklanagarind Hospital, Prince of Songkla University, 90110, Hat Yai, Songkhla, Thailand. dadehstou@gmail.com.
Wasitthee UppakarnnuntakulDepartment of Emergency Medicine, Faculty of Medicine, Songklanagarind Hospital, Prince of Songkla University, 90110, Hat Yai, Songkhla, Thailand.
Prince of Songkla University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbdominal pain occurs in 20% of geriatric patients who visit the emergency department (ED). Geriatric patients usually have more severe conditions and a higher mortality rate. We aimed to determine the factors associated with serious abdominal conditions in geriatric patients who visit the ED with abdominal pain.

methodsThis retrospective cohort study was conducted from January 1, 2017 to June 30, 2021. The inclusion criteria were patients aged ≥ 65 years and presented at the ED with acute abdominal pain. Significantly associated factors for serious abdominal conditions were examined using univariate and multivariate logistic regression analyses.

resultsA total of 1221 patients were included in this study. Multivariate logistic regression analysis showed that the significant factors associated with serious abdominal conditions were male (adjusted odds ratio [AOR] 2.29, 95% CI:1.3-4.04; p = 0.004), anorexia (AOR 2.16, 95% CI:1.08-4.32; p = 0.03), NEWS 5-6 (AOR 2.96, 95% CI:1.35-6.49; p = 0.007), SBP 100-125 mmHg (AOR 1.5, 95% CI:0.75-2.99; p ≤ 0.001), guarding (AOR 6.92, 95% CI:3.39-14.12; p ≤ 0.001), WBC ≥ 14,000 cells/mm

conclusionsThe statistically significant factors associated with serious abdominal conditions in geriatric patients were male, anorexia, NEWS 5-6, SBP 100-125 mmHg, guarding, WBC ≥ 14,000 cells/mm

Indexed as

AnorexiaEmergency Service, HospitalAbdominal PainAgedFemaleHospital MortalityHumansMaleRetrospective StudiesEmergency departmentGeriatric patientsInvasive procedureSerious abdominal conditions

Identifiers

PMID38273250
PMCPMC10809639
OpenAlexW4391226794

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.