Evidence map›Paper›PMID 27330881›Full record

ArticleSpringerPlus2016

Surgical treatment for lumbar tuberculosis by posterior transforaminal lumbar debridement, interbody fusion, and instrumentation in the aged.

Bo Yu, Yu He

Open access · diamondAbstract read
In one paragraph

Article in SpringerPlus, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 93% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

2 authors at 1 institution in 1 country.

Bo YuDepartment of Critical Care Medicine, Second Xiangya Hospital, Central South University, 139 Renmin Road, Changsha, 410011 Hunan People's Republic of China.
Yu HeDepartment of Radiology, Second Xiangya Hospital, Central South University, 139 Renmin Road, Changsha, 410011 Hunan People's Republic of China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectTo evaluate the clinical efficacy and feasibility of single-stage posterior debridement, interbody fusion and posterior instrumentation for the treatment of lumbar tuberculosis in the aged and to discuss the surgical strategies of this intervention.

methodsFrom January 2006 to January 2012, 28 elderly patients who suffered from lumbar tuberculosis underwent one-stage posterior debridement, interbody fusion and posterior instrumentation. Radiographic data which included correction of local kyphosis, loss of correction and bone fusion were carefully collected pre and postoperatively to evaluate the efficacy of surgery. Perioperative and postoperative complications were also registered. All patients were asked to fill out Oswestry Disability Index questionnaire before the surgery and at the last follow-up.

resultsAll patients (12M/16F) were followed for at least 24 months. The average kyphotic angle decreased to 11.3° ± 7.0° postoperatively from 26.4° ± 5.7° preoperatively. Meanwhile, average loss of 2.0° ± 1.5° was observed at last visit. Bone fusion occurred at 4-6 months. Neither mortalities nor any neurological complications were found in the series. 16 cases who suffered neurologic insults before surgery, the majority of patients recovered after surgery. The mean Oswestry Disability Index was significantly improved from 28.6 ± 4.9 before surgery to 10.4 ± 3.8 at last visit.

conclusionsThe outcomes of follow-up showed that single-stage posterior debridement, interbody fusion and instrumentation is an effective method for the treatment of lumbar tuberculosis in the aged.

Identifiers

PMID27330881
PMCPMC4870656
OpenAlexW2382199256

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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.