Evidence map›Paper›PMID 26495381›Full record

ArticleEmergency (Tehran, Iran)2015

Erythrocyte Sedimentation Rate Measurement Using as a Rapid Alternative to the Westergren Method.

Reza Hashemi, Alireza Majidi, Hassan Motamed, Afshin Amini, Fares Najari, Ali Tabatabaey

Abstract read
In one paragraph

Article in Emergency (Tehran, Iran), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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

6 authors.

Reza HashemiDepartment of Internal Medicine, Shohadaye Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Alireza MajidiDepartment of Emergency Medicine, Shohadaye Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Hassan MotamedDepartment of Emergency Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Afshin AminiDepartment of Emergency Medicine, Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Fares NajariDepartment of Forensic Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Ali TabatabaeyDepartment of Emergency Medicine, Shohadaye Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionErythrocyte sedimentation rate (ESR) remains as one of the most reliable tests in clinical practices. Yet its use is time consuming and requires a large blood sample. The aim of this study was assessing a faster and reliable method of ESR estimation.

methodsAn ESR estimation method was described and performed on 108 patients using capillary tube (micro ESR) and capillary peripheral blood. Micro ESR results at different intervals were measured and compared with Westergren ESR (conventional ESR) estimation by Pearson and Spearman's coefficients. A regression equation was derived to predict conventional ESR values based on micro ESR results. The agreement of two measurements was demonstrated using the Bland-Altman plot.

resultsMicro ESR results at 20 minutes showed the earliest close correlation with conventional ESR results at one hour (r = 0.987). The presented regression equation was able to closely predict ESR values (r(2) = 0.974) and the Bland-Altman plot showed an acceptable agreement between converted and conventional ESR measurements.

conclusionUsing capillary tube and capillary blood sample (micro ESR) appears to be a faster, cheaper, more reliable, and precise tool for ESR measurement in the ED. The results have acceptable correlation with conventional ESR, especially at 20 minutes of measurement.

Indexed as

Blood Sedimentationcapillary tubingemergency medicineerythrocytesmethods

Identifiers

PMID26495381
PMCPMC4614602

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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.