Evidence map›Paper›PMID 32288129›Full record

ArticleThe Egyptian journal of chest diseases and tuberculosis2016

Clinical presentations and outcome of severe community-acquired pneumonia.

Mousa Elshamly, Mohamed O Nour, Abdelmaaboud M M Omar

Open access · diamondAbstract read
In one paragraph

Article in The Egyptian journal of chest diseases and tuberculosis, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 94% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 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

3 authors at 1 institution in 1 country.

Mousa ElshamlyDepartment of Chest Diseases, Faculty of Medicine, Al-Azhar University, Egypt.
Mohamed O NourDepartment of Community & Occupational Medicine, Faculty of Medicine, Al-Azhar University (Damietta Branch), Egypt.
Abdelmaaboud M M OmarDepartment of Clinical Pathology, Faculty of Medicine, Al-Azhar University, Egypt.
Al-Azhar University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSevere community-acquired pneumonia (SCAP) represents a frequent and potentially life-threatening condition. About 10% of all hospitalized patients with CAP require admission to the intensive care unit (ICU), and the mortality of these patients reaches 20-50%.

objectiveTo evaluate the clinical presentation, bacteriological profile and outcome of severe community-acquired pneumonia (SCAP). PATIENTS AND

methods54 patients presented by symptoms and sign of severe community acquired pneumonia who were admitted to respiratory care unit of Alhussein, Al-Azhar University Hospital from August 2015 to March 2016 were subjected to full clinical examination, chest X ray, complete blood picture, sputum and blood culture, PCR for suspected cases of Influenza H1N1 and MERS-COV, treatment, follow up, data collections and statistical analysis.

resultsThe present study included 54 patients 26 males and 28 females with SCAP who were admitted to respiratory care unit of Alhussein, Al-Azhar University Hospital. The most common comorbidities were diabetes mellitus and hypertension. The most common presentations were fever, cough, dyspnea and hypoxemia. Two patients developed renal failure and 4 patients developed septic shock. The most common isolated organism was

conclusionSCAP occurs more frequently in those with comorbidities. The most frequent isolated causative organism of SCAP is

Indexed as

OutcomePresentationSevere community acquired pneumonia

Identifiers

PMID32288129
PMCPMC7125902
OpenAlexW2433078852

What OpenQuestion holds

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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.