Evidence map›Paper›PMID 25932216›Full record

ArticleInternational journal of clinical and experimental medicine2015

A comparison study of immune-inflammatory response in electroacupuncture and transcutaneous electrical nerve stimulation for patients undergoing supratentorial craniotomy.

Guoyan Li, Shuqin Li, Lizhi Sun, Fangcai Lin, Baoguo Wang

RetractedAbstract readRetracted Publication
PubMed Full text at PMC
In one paragraph

Article in International journal of clinical and experimental medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Guoyan LiDepartment of Anesthesiology, North China Grid Company Limited Beijing Electric Power Hospital Beijing, China.
Shuqin LiDepartment of Anesthesiology, Beijing Tiantan Hospital Beijing, China.
Lizhi SunDepartment of Anesthesiology, North China Grid Company Limited Beijing Electric Power Hospital Beijing, China.
Fangcai LinDepartment of General Surgery, North China Grid Company Limited Beijing Electric Power Hospital Beijing, China.
Baoguo WangDepartment of Anesthesiology and Pain Management, Beijing Sanbo Brain Hospital Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe effect of transcutaneous electrical nerve stimulation (TENS) on immuno-inflammatory response was tested and the differences between electroacupuncture (EA) and TENS in immuno-inflammatory response in patients undergoing supratentorial craniotomy were explored.

methods51 patients received craniotomy were divided randomly into 3 groups: control (group C, n=18), EA (group A, n=19) and TENS (group T, n=14) groups. Blood samples were collected before anesthesia (T0) and 30 min (T1), 2 h (T2) and 4 h (T3) after induction of anesthesia to measure the levels of tumor necrosis factor-α (TNF-α), interleukin (IL)-8, IL-10, IgM, IgA and IgG..

resultsNo significant difference existed between groups A and group T during craniotomy. IgM and IgA decreased significantly in group C compared with groups A and T at T2 and T3 time points. Compared with group C, there were significant difference in TNF-α, IgM and IgA level at T0 in groups A and T; no significant difference was found in the levels of IgG, IL-10 and IL-8.

conclusionEA and TENS could reduce immunosuppression in patients undergoing supratentorial craniotomy and it has significance in choice of treatment in immunosuppressive therapy.

Indexed as

electroacupuncture (EA)immuno-inflammatorysupratentorial craniotomyTranscutaneous electrical nerve stimulation (TENS)

Identifiers

PMID25932216
PMCPMC4402863

What OpenQuestion holds

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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.