Evidence map›Paper›PMID 31230227›Full record

ArticleIrish journal of medical science2020

Stature estimation from foot anthropometric measurements in Bangladeshi population.

Md Asadujjaman, Sk Nahid Al Noman, Md Babor Ali Molla

Abstract read
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Article in Irish journal of medical science, 2020. 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
35.1field-weighted citation impact, top 1% 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

6 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Stature estimation using the odontometric measurements of the maxilla.Journal of advanced pharmaceutical technology & research · 2022
    Article
  4. Article
  5. Article
  6. 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

3 authors at 1 institution in 1 country.

Md AsadujjamanDepartment of Industrial & Production Engineering, Rajshahi University of Engineering & Technology, Rajshahi, 6204, Bangladesh. jonikhan007@yahoo.com.ORCID http://orcid.org/0000-0002-4173-6466
Sk Nahid Al NomanDepartment of Industrial & Production Engineering, Rajshahi University of Engineering & Technology, Rajshahi, 6204, Bangladesh.
Md Babor Ali MollaDepartment of Industrial & Production Engineering, Rajshahi University of Engineering & Technology, Rajshahi, 6204, Bangladesh.
Rajshahi University of Engineering and Technology · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEstimating human stature is a major concern to formulate a biological profile which provides effective data for forensic identification. This research was aimed to generate a formula for estimating stature from human foot anthropometry.

methodsThis study was conducted in selected 150 male and 150 female subjects within the range of 18 to 60 years randomly. From each subject, stature and seven-foot measurements were taken by applying the standard technique. Stature was estimated from foot measurements by using linear and multiple regression equations.

resultsThe result showed that each foot measurement was significantly (p < 0.001) and positively correlated with stature. Bilateral difference among male and female was not significant (p < 0.05). Multiple regression models showed better accuracy in estimating stature than linear regression models.

conclusionIn conclusion, it can be said that human stature can be successfully estimated by using foot measurements which can be applied in forensic investigation.

Indexed as

AdolescentAdultAnthropometryBangladeshBody HeightEthnicityFemaleFootHumansMaleMiddle AgedYoung AdultFoot anthropometryFoot morphologyPersonal identificationRegression equationsStature estimation

Identifiers

PMID31230227
OpenAlexW2951445569

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.