Evidence map›Paper›PMID 34463863›Full record

ArticleEuropean spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society2022

Characteristics of the sagittal spinal balance in the asymptomatic elderly Chinese population.

Jipeng Song, Fumin Pan, Weiguo Zhu, Chao Kong, Shibao Lu

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Article in European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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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

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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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  5. A novel classification that defines the normal cervical spine: an analysis based on 632 asymptomatic Chinese volunteers.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2024
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jipeng SongDepartment of Orthopedics, Xuanwu Hospital, Capital Medical University, Beijing, China.
Fumin PanDepartment of Orthopedics, Xuanwu Hospital, Capital Medical University, Beijing, China.
Weiguo ZhuDepartment of Orthopedics, Xuanwu Hospital, Capital Medical University, Beijing, China.
Chao KongDepartment of Orthopedics, Xuanwu Hospital, Capital Medical University, Beijing, China.
Shibao LuDepartment of Orthopedics, Xuanwu Hospital, Capital Medical University, Beijing, China. spinelu@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the normal values of the sagittal spinal parameters and analyze the distribution of the global spinal profiles in a Chinese population with age over 75.

methodsTwo hundred and twelve sets of the whole spine lateral radiographs were obtained from a database of an asymptomatic elderly population. Global and regional spinal parameters were measured. Sagittal profiles were determined according to the Roussouly classification compared with previous studies involving different populations.

resultsA total of 102 elderly subjects (≥ 75 years) were enrolled with an average age of 79.24 ± 3.53 years. The mean values of the spinopelvic parameters were 42.89 ± 11.64° for TK, 13.84 ± 10.78° for TLK, 44.48 ± 12.88° for LL, 44.76 ± 9.84° for PI, 17.19 ± 8.08° for PT, 28.35 ± 7.94° for SS, 3.47 ± 3.56 cm for SVA, 14.75 ± 7.85° for TPA, -0.27 ± 11.95° for PI-LL, respectively. Subjects ≥ 75 years were found to have significantly smaller LL and SS, but greater TLK, PT, SVA, TPA, and PI-LL than those 60-74 years (p < 0.05). Significant age- and sex-dependent differences were found in the Roussouly classification's distribution between the two subgroups.

conclusionsThe normal values of the sagittal parameters were presented in the elderly Chinese asymptomatic population (≥ 75 years). Ethnic, age, and sex displayed significant effects on the behaviors of the sagittal spinal balance and profiles. These results could be served as physiological references for the planning of surgical strategies in elderly Chinese patients over 75 years.

Indexed as

LordosisSpineAgedAged, 80 and overAsian PeopleChinaHumansLumbar VertebraeRadiographyReference ValuesAsymptomaticElderly populationNormative valueRoussouly classificationSagittal alignment

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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.