Evidence map›Paper›PMID 26855721›Full record

ArticleIranian journal of cancer prevention2015

Non Invasive XRF Analysis of Human Hair for Health State Determination of Breast Tissue.

Asghar Maziar, Daryoush Shahbazi-Gahrouei, Mohammad Bagher Tavakoli, Vahid Changizi

Open access · hybridAbstract read
In one paragraph

Article in Iranian journal of cancer prevention, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
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 2 institutions in 1 country.

Asghar MaziarDepartment of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, IR Iran.
Daryoush Shahbazi-GahroueiDepartment of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, IR Iran.
Mohammad Bagher TavakoliDepartment of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, IR Iran.
Vahid ChangiziDepartment of Radiology and Radiotherapy, School of Allied Medicine, Tehran University of Medical Sciences, Tehran, IR Iran.
Isfahan University of Medical Sciences · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUsing hair samples to analyze the trace element concentrations is of interest among many researchers. X-ray fluorescence (XRF) and X-ray diffraction (XRD) are the most common methods in studying the structure and concentration of elements of tissues and also crystalline materials, using low energy X-ray.

objectivesIn the present study, the detection ability of Wave Length X-ray Fluorescence (WLXRF) of breast cancer at early stages was evaluated and the results were compared with other routine modalities such as mammography. MATERIALS AND

methodsHair samples of 54 women (including 27 healthy and 27 patients) with average age of 52.03 ± 11.44 years were analyzed. All the sample donors were Iranian women. For the measurements Wave Length X-ray Fluorescence (WLXRF) method was used.

resultsTrace elements in healthy individuals were higher than those in cancer patients. In addition, sensitivity of the used method (WLXRF) was 96% compared to mammography (77%) as a gold standard for breast cancer detection.

conclusionsTrace elements in healthy individuals were higher than cancer patients and it seems that WLXRF may be used as a safe, low cost and reliable method with sensitivity higher than those of the other two relevant methods, XRD and mammography.

Indexed as

Breast TissueHuman HairNon-InvasiveWave Length X-Ray Fluorescence (WLXRF)

Identifiers

PMID26855721
PMCPMC4736071
OpenAlexW2236107579

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.