Evidence map›Paper›PMID 29089773›Full record

ArticleTherapeutics and clinical risk management2017

A 12-year follow-up study of combined treatment of post-severe acute respiratory syndrome patients with femoral head necrosis.

Tiansheng Liu, Jinchao Ma, Bin Su, Hao Wang, Qi Wang, Xinlong Ma

Open access · goldAbstract read
In one paragraph

Article in Therapeutics and clinical risk management, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Tiansheng LiuDepartment of Orthopaedic Surgery, The General Hospital of Tianjin Medical University.
Jinchao MaDepartment of Orthopaedic Surgery.
Bin SuDepartment of Pneumology, the Affiliated Hospital of Logistics University of PAP, Tianjin, People's Republic of China.
Hao WangDepartment of Orthopaedic Surgery.
Qi WangDepartment of Orthopaedic Surgery.
Xinlong MaDepartment of Orthopaedic Surgery, The General Hospital of Tianjin Medical University.
Tianjin Hospital · CNLogistics University of People's Armed Police Force · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the long-term efficacy of a combination treatment of alendronate, extracorporeal shock and hyperbaric oxygen for osteonecrosis of the femoral head (ONFH) of post-severe acute respiratory syndrome (SARS) patients. PATIENTS AND

methodsThe retrospective study was performed including a total of 37 post-SARS ONFH patients (66 hip joints) in the Department of Orthopedics of the General Hospital of Tianjin Medical University between November 2003 and November 2015, consisting of 6 males (11 hip joints) and 31 females (55 hip joints), with age between 19 and 47 years (average 29.9 years). Visual analog scale (VAS) score, Harris score and Association Research Circulation Osseous (ARCO) stage of imaging examination were compared among those before treatment, and at 1, 3, 6, 9 and 12 years after treatment. Paired

resultsWith 12-year follow-up, significant improvements on VAS (6.81 of pre-treatment vs 3.94 of 12-year post-treatment) and Harris score (74.54 of pre-treatment vs 80.14 of 12-year post-treatment) were observed (all

conclusionThe combined treatment may delay or discontinue the development of ONFH in post-SARS patients.

Indexed as

alendronateextracorporeal shock wavehyperbaric oxygenosteonecrosis of the femoral headSARS

Identifiers

PMID29089773
PMCPMC5656358
OpenAlexW2767039868

What OpenQuestion holds

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LicenceCC BY-NC
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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.