Evidence map›Paper›PMID 28416929›Full record

ArticleThe Eurasian journal of medicine2017

Role of Coma Acidosis Malaria Score in Patients with Severe Malaria among Indian Population: a Tertiary Care Center Experience.

Hari Krishan Aggarwal, Deepak Jain, Avinash Rao, Rajinish Kalra

Open access · diamondAbstract read
In one paragraph

Article in The Eurasian journal of medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
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 1 institution in 1 country.

Hari Krishan AggarwalDepartment of Medicine, Pt B.D. Sharma University of Health Sciences, Haryana, India.
Deepak JainDepartment of Medicine, Pt B.D. Sharma University of Health Sciences, Haryana, India.
Avinash RaoDepartment of Medicine, Pt B.D. Sharma University of Health Sciences, Haryana, India.
Rajinish KalraDepartment of Pathology, Pt B.D. Sharma University of Health Sciences, Haryana, India.
Pandit Bhagwat Dayal Sharma University of Health Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMalaria is a prime public health threat in developing countries like India. There is an unmet need of a simplified methodology for the purpose of triage and provision of intensive care to the severely infected patients in these areas. MATERIALS AND

methodsWe did a prospective study in patients (n=60) admitted with severe malaria in a single tertiary care center in the state of Haryana, India. We assessed the role of coma acidosis malaria (CAM) score in these patients when predicting mortality and morbidity events. Stepwise logistic regression analysis was applied to identify patients requiring intensive care based on the CAM score, and the prediction value of the scoring system was assessed among these patients.

resultsCerebral malaria (measured using the Glasgow coma scale) and acidosis (base deficit) were the major determinants of the CAM score. Serum bicarbonate levels and respiratory rates were assessed as the proxy markers of the base deficit as it is not always available. Morbidity increased steadily as the CAM scores increased. Sensitivity and negative predictive value of 100% depicted that the scoring system was able to identify patients who needed intensive care and accurately exclude the patients who could be conservatively managed in the ward. Positive predictive values of 73.9%, 68%, and 80.9% indicated that CAM, bicarbonate-based CAM (BCAM), and respiratory rate-based CAM (RCAM) scores, respectively, could precisely predict the morbidity and mortality events among patients with CAM scores ≥2.

conclusionCAM scores have precise predictive values in assessing patients with severe malaria. The scoring system helps in accurate and systemic triage of patients, irrespective of species, and directs the treating physicians toward vigilant treatment and emergency care.

Indexed as

Emergency medicineinfectious diseasesinternal medicine

Identifiers

PMID28416929
PMCPMC5389490
OpenAlexW2601422529

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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.