Evidence map›Paper›PMID 31129721›Full record

SynthesisArchives of osteoporosis2019

Age-specific 1-year mortality rates after hip fracture based on the populations in mainland China between the years 2000 and 2018: a systematic analysis.

Zhiyong Cui, Hui Feng, Xiangyu Meng, Siying Zhuang, Zhaorui Liu, Kaifeng Ye, Chuan Sun, Yong Xing, Fang Zhou, Yun Tian

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Archives of osteoporosis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
–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

42 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  12. Peripheral nerve blocks for hip fracture surgeries: a bibliometric and visual analysis.International journal of surgery (London, England) · 2025
    Review
  13. Comparing mortality in the elderly after proximal femur fractures and coxarthrosis: the effect of individual health characteristics and day of surgery.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
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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

10 authors.

Zhiyong CuiDepartment of Orthopedic Trauma, Peking University Third Hospital, No 49 Huayuan Road, Haidian District, Beijing, China.
Hui FengDepartment of Orthopedic Trauma, Peking University Third Hospital, No 49 Huayuan Road, Haidian District, Beijing, China.
Xiangyu MengDepartment of Urology, Wuhan University Zhongnan Hospital, Wuhan, Hubei, China.
Siying ZhuangWuhan University School of Medicine, Wuhan, Hubei, China.
Zhaorui LiuPeking University Sixth Hospital, Beijing, China.
Kaifeng YeDepartment of Orthopedic Trauma, Peking University Third Hospital, No 49 Huayuan Road, Haidian District, Beijing, China.
Chuan SunDepartment of Orthopedic Trauma, Peking University Third Hospital, No 49 Huayuan Road, Haidian District, Beijing, China.
Yong XingDepartment of Orthopedic Trauma, Peking University Third Hospital, No 49 Huayuan Road, Haidian District, Beijing, China.
Fang ZhouDepartment of Orthopedic Trauma, Peking University Third Hospital, No 49 Huayuan Road, Haidian District, Beijing, China.
Yun TianDepartment of Orthopedic Trauma, Peking University Third Hospital, No 49 Huayuan Road, Haidian District, Beijing, China. tiany@bjmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We used statistical approaches to calculate 1-year mortality rates and reveal the relationship between age and the 1-year mortality rate after hip fracture based on data from mainland China between the years 2000 and 2018.

introductionData on the 1-year mortality rates after hip fracture in mainland China remain limited and localized. We aimed to analyze the 1-year mortality rates and reveal the variations in 1-year mortality by age after hip fracture based on data from mainland China.

methodsWe searched PubMed, EMBASE, Cochrane Library, CNKI, Wanfang, and CBM-SinoMed for all relevant articles in English or Chinese to estimate the 1-year mortality rates after hip fracture in mainland China. A random-effects meta-analysis model was fitted to pool the overall 1-year mortality rates. A multilevel mixed-effects meta-regression model was developed. Based on the final model, the age-specific 1-year mortality rates after hip fracture in mainland China were generated.

resultsThe pooled estimate of the 1-year mortality rate was 13.96% after hip fracture (95% CI 12.26 to 15.86%), 17.47% after femoral intertrochanteric fracture (95% CI 14.29 to 21.20%), and 9.83% after femoral neck fracture (95% CI 6.96 to 13.72%) between the years 2000 and 2018. We found that the 1-year mortality rates ranged from 2.65% (95% CI 1.76 to 3.99%) in those aged 50~54 years to 28.91% (95% CI 24.23 to 34.30%) in those aged 95~99 years after hip fracture; ranged from 1.73% (95% CI 0.58 to 4.99%) in those aged 50~54 years to 50.11% (95% CI 46.03% to 53.97%) in those aged 95~99 years after femoral intertrochanteric fracture; and ranged from 1.66% (95% CI 1.31 to 2.11%) in those aged 60~64 years to 37.71% (95% CI 27.92 to 48.63%) in those aged 95~99 years after femoral neck fracture.

conclusionIn this systematic review and meta-analysis, we calculated the 1-year mortality rate after hip fracture in mainland China and found that this rate was lower than that in most countries. We also estimated the age-specific mortality rates for different age groups after hip fracture. These findings will be beneficial for the prevention and treatment of hip fracture in mainland China.

Indexed as

Age FactorsAgedAged, 80 and overChinaFemaleHip FracturesHumansMiddle AgedChinaHip fractureMeta-analysisMortalitySystematic review

Identifiers

PMID31129721
PMCPMC6535151

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.