Evidence map›Paper›PMID 24455244›Full record

ArticlePulmonary medicine2013

The pattern of respiratory disease morbidity and mortality in a tertiary hospital in southern-eastern Nigeria.

Victor Aniedi Umoh, Akaninyene Otu, Henry Okpa, Emmanuel Effa

Open access · goldAbstract read
In one paragraph

Article in Pulmonary medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

11 citing papers in PubMed, 34 citations in OpenAlex.

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  8. Burden and spectrum of paediatric respiratory diseases at a referral hospital in North-Central Nigeria - A five year review.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2020
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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

4 authors at 2 institutions in 1 country.

Victor Aniedi UmohDepartment of Internal Medicine, University of Uyo, Uyo, Akwa Ibom State, Nigeria.
Akaninyene OtuUniversity of Calabar, Nigeria.
Henry OkpaDepartment of Internal Medicine, University of Calabar, Nigeria.
Emmanuel EffaDepartment of Internal Medicine, University of Calabar, Nigeria.
University of Calabar · NGUniversity of Uyo · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background. Respiratory complaints are commonly encountered in medicine and respiratory diseases place a high burden on healthcare infrastructure. Healthcare planning should be based on adequate information: this study will help us to analyze the pattern of respiratory disease admissions in the medical wards in a developing country. Methods. The medical records of patients admitted into the medical wards over a 5-year period were retrieved and reviewed. Information obtained included demography, diagnosis, comorbid conditions, and risk factors for respiratory disease. Results. Three thousand four hundred and ninety patients were admitted into the medical wards with 325 (9.3%) of them diagnosed with a respiratory condition. There were 121 females and 204 males. The average age of the patients was 40.7 ± 14.7 years. Only 7% of the patients smoked cigarette. The commonest respiratory conditions were tuberculosis (66.8%) and pneumonia (24.9%). The commonest comorbidity was HIV infection (39.7%). Tuberculosis/HIV coinfection rate was 50.7%. HIV infection was the single most important predictor of an adverse outcome (OR 5.1, 95% CI 2.05-12.7, P < 0.001). Conclusion. Infective conditions make up a large percentage of respiratory diseases in low income countries with HIV infection constituting a significant risk factor for a poor disease outcome.

Identifiers

PMID24455244
PMCPMC3877625
OpenAlexW2029475873

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.