Evidence map›Paper›PMID 32320097›Full record

ArticleJournal of orthopaedic research : official publication of the Orthopaedic Research Society2020

Can measurements from an anteroposterior radiograph predict pelvic sagittal inclination?

Keisuke Uemura, Penny R Atkins, Masashi Okamoto, Kunihiko Tokunaga, Andrew E Anderson

Open access · greenAbstract read
In one paragraph

Article in Journal of orthopaedic research : official publication of the Orthopaedic Research Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

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  7. Prediction of femoral head coverage from articulated statistical shape models of patients with developmental dysplasia of the hip.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2022
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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 at 2 institutions in 2 countries.

Keisuke UemuraDepartment of Orthopaedics, University of Utah, Salt Lake City, Utah.ORCID 0000-0002-9245-1743
Penny R AtkinsDepartment of Orthopaedics, University of Utah, Salt Lake City, Utah.
Masashi OkamotoDepartment of Radiology, Kameda Daiichi Hospital, Niigata City, Niigata, Japan.
Kunihiko TokunagaNiigata Hip Joint Center, Kameda Daiichi Hospital, Niigata City, Niigata, Japan.
Andrew E AndersonDepartment of Orthopaedics, University of Utah, Salt Lake City, Utah.ORCID 0000-0003-4708-2608
University of Utah · USNiigata City General Hospital · JP

Funding

Musculoskeletal and Finite Element Modeling of Femoroacetabular ImpingementR21AR063844 · NIAMS · UNIVERSITY OF UTAH · PI ANDERSON, ANDREW EDWARD · 2013 to 2014
$349k
NIAMS NIH HHS R21 AR063844
6 · The paper itself

Abstract

Pelvic sagittal inclination (PSI) is often evaluated in patients with hip pathology using lateral radiographs. However, it would be useful if PSI could be predicted from an anteroposterior radiograph since this film is ubiquitous in the evaluation of hip pathology. Herein, computer-modeling was applied to predict PSI from radiographic measurements assessed in the anteroposterior plane. Three-dimensional surface models of the pelvis, femur, and sacrum were reconstructed from computed tomography images of 50 women with hip dysplasia. This study cohort was selected as changes in PSI alter femoral head coverage, which is relevant to the diagnosis and treatment of hip dysplasia, a known cause of hip osteoarthritis. Five radiographic parameters commonly used to independently estimate PSI were evaluated after bone surfaces were projected to an anteroposterior plane, including the symphysis to sacrococcygeal joint distance (S-S distance), the pelvic foramen aspect ratio (PF ratio), the distance between the symphysis and a line connecting the femoral head centers (S-H distance), the sacro-femoral-pubic angle (SFP angle), and the pelvic vertical ratio (PVR). Regression models determined the ability of these parameters to predict PSI from -20° to 20° at 1° increment. All five parameters showed a strong correlation with the PSI (all r > 0.9). From the regression models, PSI was estimated with a median (maximum) absolute error of 3.6° (18.4°), 3.8° (17.7°), 5.2° (17.9°), 5.8° (28.8°), and 3.2° (23.5°) for the S-S distance, PF ratio, S-H distance, SFP angle, and PVR, respectively. The regression model for S-S distance had a mean slope of 2.18 that ranged from 1.98 to 2.41 when the sacrococcygeal joint was located superior to the symphysis. Results indicated that substantial errors occur when estimating the actual value of PSI from an anteroposterior radiograph. However, the change in PSI could be estimated from the S-S distance, which may aid surgeons to successfully increase head coverage through periacetabular osteotomy and to locate the acetabular cup in a functional position for total hip arthroplasty.

Indexed as

Cohort StudiesFemaleHip Dislocation, CongenitalHip JointHumansLinear ModelsRadiographycomputed tomographydevelopmental dysplasia of the hiphip arthroplastypelvic tiltregression model

Identifiers

PMID32320097
PMCPMC7335595
OpenAlexW3016391591

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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.