Evidence map›Paper›PMID 30387464›Full record

ArticleJNMA; journal of the Nepal Medical Association

An Audit of An Intensive Care Unit of A Tertiary Care Hospital.

Subhash Prasad Acharya, Adheesh Bhattarai, Binita Bhattarai

Abstract read
In one paragraph

Article in JNMA; journal of the Nepal Medical Association. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

3 authors.

Subhash Prasad AcharyaDepartment of Anesthesiology, Institute of Medicine, Tribhuvan University, Maharajgunj, Kathmandu, Nepal.
Adheesh BhattaraiDepartment of Anesthesiology, Institute of Medicine, Tribhuvan University, Maharajgunj, Kathmandu, Nepal.
Binita BhattaraiDepartment of Anesthesiology, Institute of Medicine, Tribhuvan University, Maharajgunj, Kathmandu, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe patients with the most severe and life threatening illnesses requiring constant monitoring and support are admitted in the intensive care unit. Tribhuvan University Teaching Hospital is the oldest and tertiary referral center hospital in the country with eleven-bedded level III mixed medical surgical ICU. This audit was performed to study the profile of critically ill patients under different headings like diagnosis at admission, primary specialty, outcome of the patients, etc. Methods: A descriptive cross-sectional study was designed and all patients admitted to the intensive care unit of our center between 13 April 2017 and 13 April 2018 (1st Baisakh 2074 to 30th Chaitra 2074) were selected for this study.

resultsA total of 813 patients were admitted in TUTH ICU over a period of one year (2074 B.S.) with male patients being more common. Neurosurgical cases were most common at 199 (24.48 %), followed by respiratory cases at 149 (18.32%) and so on. The overall mortality was 246 (32.8%). The overall surgical cases were more common than medical cases with better outcomes.

conclusionsThis audit presents the profile of patients admitted in a tertiary level hospital in Nepal, their indications and mortality. The most common patients being admitted were Neurosurgical patients and the mortality was significantly higher compared to ICUs in developed countries.

Indexed as

Medical AuditAdolescentAdultAgedCritical IllnessCross-Sectional StudiesFemaleHumansIntensive Care UnitsLength of StayMaleMiddle AgedNepalTertiary Care CentersYoung Adultaudit; intensive care unit; mortality; outcome; tertiary level.

Identifiers

PMID30387464
PMCPMC8827547

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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.