Evidence map›Paper›PMID 38371446›Full record

ArticleArchives of academic emergency medicine2024

MONTH Score in Predicting Difficult Intubations in Emergency Department; a Prognostic Accuracy Study.

Nitis Hongthong, Sorravit Savatmongkorngul, Chaiyaporn Yuksen, Thanakorn Laksanamapune

Abstract read
In one paragraph

Article in Archives of academic emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. A Glance at Archives of Academic Emergency Medicine Journal in 2024.Archives of academic emergency medicine · 2025
    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

4 authors.

Nitis HongthongDepartment of Emergency Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Thailand.
Sorravit SavatmongkorngulDepartment of Emergency Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Thailand.
Chaiyaporn YuksenDepartment of Emergency Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Thailand.
Thanakorn LaksanamapuneDepartment of Emergency Medicine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: MONTH Difficult Laryngoscopy Score was developed for effectively identifying difficult intubations in the emergency department (ED). This study aimed to evaluate the accuracy of MONTH Score in predicting difficult intubations in ED. Methods: We prospectively collected data on all patients undergoing intubation in the ED of Ramathibodi Hospital, Bangkok, Thailand. The screening performance characteristics of the MONTH score in identifying the difficult intubation in ED were analyzed. All data were analyzed using STATA software version 18.0. Results: 324 intubated patients with the median age of 73 (63-82) years were studied (63.58% male). The proportion of difficult intubations was 19.44%. The sensitivity and specificity of MONTH in predicting difficult intubations were 74.6% (95% CI: 61.6%-85.0%) and 92.8% (95% CI: 89.0%-95.6%), respectively. These measures in subgroup of patients with Intubation Difficulty Scale (IDS) score ≥ 6 were 44.1% (95%CI: 31.2-57.6) and 98.5% (95% CI: 96.2%- 99.6%), respectively. The area under the receiver operation characteristic (ROC) curve of MONTH in predicting difficult intubations was 0.895 (95% CI: 0.856- 0.926). Conclusions: It seems that the MONTH Difficult Laryngoscopy Score could be considered as a tool with high specificity and positive predictive values in identifying cases with difficult intubations in ED.

Indexed as

Clinical decision rulesEmergency servicehospitalIntubationLaryngoscopyValidation study

Identifiers

PMID38371446
PMCPMC10871049

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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.