Evidence map›Paper›PMID 27672615›Full record

ArticleImaging science in dentistry2016

IDIOS: An innovative index for evaluating dental imaging-based osteoporosis screening indices.

Imad Barngkgei, Esam Halboub, Abeer Abdulkareem Almashraqi, Razan Khattab, Iyad Al Haffar

Abstract read
In one paragraph

Article in Imaging science in dentistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

5 authors.

Imad BarngkgeiDepartment of Oral Medicine, Faculty of Dentistry, Damascus University, Damascus, Syria.; Department of Oral Medicine, Faculty of Dentistry, Syrian Private University, Damascus, Syria.
Esam HalboubDepartment of Maxillofacial Surgery and Diagnostic Sciences, College of Dentistry, Jazan University, Jazan, Kingdom of Saudi Arabia.
Abeer Abdulkareem AlmashraqiDepartment of Maxillofacial Surgery and Diagnostic Sciences, College of Dentistry, Jazan University, Jazan, Kingdom of Saudi Arabia.; Department of Oral and Maxillofacial Radiology, Faculty of Dentistry, Ibb University, Ibb, Yemen.
Razan KhattabDepartment of Periodontology, Faculty of Dentistry, Damascus University, Damascus, Syria.
Iyad Al HaffarDepartment of Oral Medicine, Faculty of Dentistry, Damascus University, Damascus, Syria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe goal of this study was to develop a new index as an objective reference for evaluating current and newly developed indices used for osteoporosis screening based on dental images. Its name; IDIOS, stands for Index of Dental-imaging Indices of Osteoporosis Screening. MATERIALS AND

methodsA comprehensive PubMed search was conducted to retrieve studies on dental imaging-based indices for osteoporosis screening. The results of the eligible studies, along with other relevant criteria, were used to develop IDIOS, which has scores ranging from 0 (0%) to 15 (100%). The indices presented in the studies we included were then evaluated using IDIOS.

resultsThe 104 studies that were included utilized 24, 4, and 9 indices derived from panoramic, periapical, and computed tomographic/cone-beam computed tomographic techniques, respectively. The IDIOS scores for these indices ranged from 0 (0%) to 11.75 (78.32%).

conclusionIDIOS is a valuable reference index that facilitates the evaluation of other dental imaging-based osteoporosis screening indices. Furthermore, IDIOS can be utilized to evaluate the accuracy of newly developed indices.

Indexed as

Absorptiometry, PhotonDiagnosisOsteoporosisRadiography, Dental

Identifiers

PMID27672615
PMCPMC5035724

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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.