Evidence map›Paper›PMID 25217409›Full record

ArticleLasers in medical science2015

Raman spectroscopy for a rapid diagnosis of sickle cell disease in human blood samples: a preliminary study.

Antonio Carlos Bueno Filho, Landulfo Silveira, Ana Leticia Sant'Anna Yanai, Adriana Barrinha Fernandes

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In one paragraph

Article in Lasers in medical science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 19 citations in OpenAlex.

  1. Application of Raman spectroscopy and machine learning forApplied and environmental microbiology · 2024
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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 1 institution in 1 country.

Antonio Carlos Bueno FilhoBiomedical Engineering Institute, Universidade Camilo Castelo Branco - UNICASTELO, Parque Tecnológico de São José dos Campos, Estr. Dr. Altino Bondesan, 500, São José dos Campos, SP, 12247-016, Brazil.
Landulfo Silveira
Ana Leticia Sant'Anna Yanai
Adriana Barrinha Fernandes
Universidade Brasil · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Raman spectroscopy has been proposed as a tool for diagnosis of human blood diseases aiming a quick and accurate diagnosis. Sickle cell disease arises in infancy and causes a severe anemia; thus, an early diagnosis may avoid pathological complications such as vasoocclusion, hemolytic anemia, retinopathy, cardiovascular disease, and infections. This work evaluated spectral differences between hemoglobin S (HbS) and hemoglobin A (HbA) to be used in a diagnostic model based on principal components analysis. Blood samples of patients with a previous diagnosis of sickle cell disease were hemolyzed with water, centrifuged, and the pellet was collected with a pipette. Near-infrared Raman spectra (830 nm, 200 mW) were obtained from these samples, and a model based on principal components analysis and Mahalanobis distance were used to discriminate HbA from HbS. Differences were found in the spectra of HbS and HbA, mainly in the 882 and 1,373 cm(-1) (valine, HbA) and 1,547 and 1,622 cm(-1) (glutamic acid, HbS). The spectral model could correctly discriminate 100% of the samples in the correspondent groups. Raman spectroscopy was able to detect the subtle changes in the polypeptide chain (valine and glutamic acid substitution) due to the sickle cell disease and could be used to discriminate blood samples with HbS from HbA with minimum sample preparations (hemolysis with water and centrifugation).

Indexed as

Spectrum Analysis, RamanAdultAnemia, Sickle CellData Interpretation, StatisticalFemaleHemoglobin AHemoglobin, SickleHemolysisHumansMalePrincipal Component AnalysisReproducibility of ResultsYoung AdultHemoglobin AHemoglobin, Sickle

Identifiers

PMID25217409
OpenAlexW1988357660

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.