Evidence map›Paper›PMID 26933877›Full record

ArticlePloS one2016

Determination of Femoral Neck Angle and Torsion Angle Utilizing a Novel Three-Dimensional Modeling and Analytical Technology Based on CT Datasets.

Maximilian J Hartel, Andreas Petersik, Anne Schmidt, Daniel Kendoff, Jakob Nüchtern, Johannes M Rueger, Wolfgang Lehmann, Lars G Grossterlinden

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
8.2field-weighted citation impact, top 2% 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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 95 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Evaluation of Changes in Hip Morphology in a Rabbit Model of Patellar Dislocation via Computed Tomography Imaging.Medical science monitor : international medical journal of experimental and clinical research · 2026
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  13. Radiographic Parameters of Adult Hip Dysplasia.Orthopaedic journal of sports medicine · 2023
    Review
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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

8 authors at 3 institutions in 1 country.

Maximilian J HartelDepartment of Trauma, Hand and Reconstructive Surgery, University Medical Center Hamburg-Eppendorf, Germany.
Andreas PetersikStryker Trauma GmbH, Kiel-Schönkirchen, Germany.
Anne SchmidtStryker Trauma GmbH, Kiel-Schönkirchen, Germany.
Daniel KendoffHELIOS ENDO-Klinik, Orthopedic Department, Holstenstr. 2, Hamburg, 20457, Germany.
Jakob NüchternDepartment of Trauma, Hand and Reconstructive Surgery, University Medical Center Hamburg-Eppendorf, Germany.
Johannes M RuegerDepartment of Trauma, Hand and Reconstructive Surgery, University Medical Center Hamburg-Eppendorf, Germany.
Wolfgang LehmannDepartment of Trauma, Hand and Reconstructive Surgery, University Medical Center Hamburg-Eppendorf, Germany.
Lars G GrossterlindenDepartment of Trauma, Hand and Reconstructive Surgery, University Medical Center Hamburg-Eppendorf, Germany.
Universität Hamburg · DEStryker (Germany) · DEHelios Endo-Klinik Hamburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionExact knowledge of femoral neck inclination and torsion angles is important in recognizing, understanding and treating pathologic conditions in the hip joint. However, published results vary widely between different studies, which indicates that there are persistent difficulties in carrying out exact measurements.

methodsA three dimensional modeling and analytical technology was used for the analysis of 1070 CT datasets of skeletally mature femurs. Individual femoral neck angles and torsion angles were precisely computed, in order to establish whether gender, age, body mass index and ethnicity influence femoral neck angles and torsion angles.

resultsThe median femoral neck angle was 122.2° (range 100.1-146.2°, IQR 117.9-125.6°). There are significant gender (female 123.0° vs. male 121.5°; p = 0.007) and ethnic (Asian 123.2° vs. Caucasian 121.9°; p = 0.0009) differences. The median femoral torsion angle was 14.2° (-23.6-48.7°, IQR 7.4-20.4°). There are significant gender differences (female 16.4° vs. male 12.1°; p = 0.0001). Femoral retroversion was found in 7.8% of the subjects.

conclusionPrecise femoral neck and torsion angles were obtained in over one thousand cases. Systematic deviations in measurement due to human error were eliminated by using automated high accuracy morphometric analysis. Small but significant gender and ethnic differences were found in femoral neck and torsion angles.

Indexed as

AdultAgedAged, 80 and overBody Mass IndexFemaleFemur NeckHip JointHumansMaleMiddle AgedStatistics as TopicTomography, X-Ray ComputedYoung Adult

Identifiers

PMID26933877
PMCPMC4775021
OpenAlexW2288931164

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.