Evidence map›Paper›PMID 27555697›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2016

The role of C-reactive protein as a diagnostic predictor of sepsis in a multidisciplinary Intensive Care Unit of a tertiary care center in Nepal.

Saurabh Pradhan, Ashish Ghimire, Balkrishna Bhattarai, Bashudha Khanal, Krishna Pokharel, Madhab Lamsal, Sidhhartha Koirala

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Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  15. The Dynamical Assessment of Inflammatory Biomarkers in Predicting the Outcome of Septic Patients and the Response to Antimicrobial Therapy.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 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

7 authors.

Saurabh PradhanDepartment of Anaesthesiology, TUTH, IOM, Kathmandu, Nepal.
Ashish GhimireDepartment of Anaesthesiology and Critical Care, B. P. Koirala Institute of Health Sciences, Dharan, Nepal.
Balkrishna BhattaraiDepartment of Anaesthesiology and Critical Care, B. P. Koirala Institute of Health Sciences, Dharan, Nepal.
Bashudha KhanalDepartment of Microbiology, B. P. Koirala Institute of Health Sciences, Dharan, Nepal.
Krishna PokharelDepartment of Anaesthesiology and Critical Care, B. P. Koirala Institute of Health Sciences, Dharan, Nepal.
Madhab LamsalDepartment of Biochemistry, B. P. Koirala Institute of Health Sciences, Dharan, Nepal.
Sidhhartha KoiralaDepartment of Anaesthesiology and Critical Care, B. P. Koirala Institute of Health Sciences, Dharan, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimC-reactive protein (CRP) is a commonly used biomarker of sepsis, the leading cause of mortality in Intensive Care Units (ICUs). However, sufficient data are still lacking to strongly recommend it in clinical practice. The present study is aimed to find out its reliability in diagnosing sepsis. MATERIALS AND

methodsCRP was measured in ICU-admitted patients with systemic inflammatory response syndrome and compared using a cutoff of 50 mg/L with the gold standard for diagnosing sepsis, taken as isolation of organism from a suspected source of infection or the Centers for Disease Control criteria for clinical sepsis.

resultsCRP had a sensitivity and specificity of 84.3% and 46.15%, respectively. Area under the receiver operating characteristics curve was calculated to be 0.683 (±0.153, P < 0.05). The cutoff value with the best diagnostic accuracy was found to be 61 mg/L.

conclusionCRP is a sensitive marker of sepsis, but it is not specific.

Indexed as

C-reactive proteindiagnosissepsis

Identifiers

PMID27555697
PMCPMC4968065

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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.