Evidence map›Paper›PMID 31718681›Full record

ArticleJournal of orthopaedic surgery and research2019

Correlation of serum PTH level and fracture healing speed in elderly patients with hip fracture.

Zhao-Nan Ban, Zheng-Jiang Li, Qi-Shan Gu, Jun Cheng, Qiang Huang, Shu-Xing Xing

Abstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Zhao-Nan BanDepartment of Orthopedics, Chengdu Fifth People's Hospital, No.33 Ma Shi Street, Wen jiang District, Chengdu, 611130, Sichuan Province, People's Republic of China.
Zheng-Jiang LiDepartment of Orthopedics, Chengdu Fifth People's Hospital, No.33 Ma Shi Street, Wen jiang District, Chengdu, 611130, Sichuan Province, People's Republic of China.
Qi-Shan GuDepartment of Orthopedics, Chengdu Fifth People's Hospital, No.33 Ma Shi Street, Wen jiang District, Chengdu, 611130, Sichuan Province, People's Republic of China.
Jun ChengDepartment of Orthopedics, Chengdu Fifth People's Hospital, No.33 Ma Shi Street, Wen jiang District, Chengdu, 611130, Sichuan Province, People's Republic of China.
Qiang HuangDepartment of Orthopedics, Chengdu Fifth People's Hospital, No.33 Ma Shi Street, Wen jiang District, Chengdu, 611130, Sichuan Province, People's Republic of China.
Shu-Xing XingDepartment of Orthopedics, Chengdu Fifth People's Hospital, No.33 Ma Shi Street, Wen jiang District, Chengdu, 611130, Sichuan Province, People's Republic of China. xingshuxing@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo access serum parathyroid hormone (PTH) level in elderly patients with hip fracture in relation to fracture healing outcomes.

methodsThis study included 90 elderly male patients with hip fracture and they were defined as the hip fracture group, and they were divided into healing effective group and delayed healing group by final fracture healing outcomes, 45 cases in each group; another 45 male patients older than 70 years without established osteoporosis and hip fracture were included as the control group. The levels of serum PTH level were examined in each group.

resultsSerum PTH level was significantly higher in healing effective group patients at the 7 days and 14 days after fracture than the delayed healing patients.

conclusionsOur results show that serum PTH level may be an effective indicator of hip fracture delayed healing risk in the elderly.

Indexed as

Fracture HealingAgedHip FracturesHumansMaleParathyroid HormoneRetrospective StudiesParathyroid HormoneElderly patientsFracture healingHip fracturePTH

Identifiers

PMID31718681
PMCPMC6852715

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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.