Evidence map›Paper›PMID 27822014›Full record

ArticleDrug design, development and therapy2016

Hyaluronic acid and oxidized regenerated cellulose prevent adhesion reformation after adhesiolysis in rat models.

Yan Zhang, Qin Liu, Ning Yang, Xuegang Zhang

Open access · goldAbstract read
In one paragraph

Article in Drug design, development and therapy, 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
0.3field-weighted citation impact, top 32% 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, 12 citations in OpenAlex.

  1. Article
  2. Review
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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

4 authors at 2 institutions in 1 country.

Yan ZhangDepartment of Gynecology, Kunshan Hospital Affiliated to Jiangsu University, Kunshan, Jiangsu, People's Republic of China.
Qin LiuDepartment of Gynecology, Kunshan Hospital Affiliated to Jiangsu University, Kunshan, Jiangsu, People's Republic of China.
Ning YangDepartment of Gynecology, Kunshan Hospital Affiliated to Jiangsu University, Kunshan, Jiangsu, People's Republic of China.
Xuegang ZhangDepartment of Gynecology, Kunshan Hospital Affiliated to Jiangsu University, Kunshan, Jiangsu, People's Republic of China.
First People's Hospital of Kunshan · CNJiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postsurgical adhesion formation is the most common complication in abdominal and pelvic surgery. Adhesiolysis is the most commonly applied treatment for adhesion formation but is often followed by adhesion reformation. Therefore, an efficient strategy should be adopted to solve these problems. This study aimed to explore whether hyaluronic acid and oxidized regenerated cellulose (ORC) could prevent adhesion formation and reformation. Thirty female Sprague Dawley rats were randomly divided into three groups (n=10 each) and subjected to different treatments during the first and second surgery. The control group was treated with isotonic sodium chloride, the ORC group was treated with ORC (1.5×1 cm), and the medical sodium hyaluronate (MSH) group was treated with 1% MSH (0.5 mL). At 2 weeks after the first surgery, adhesion scores in the MSH group (1.90±0.99) and the ORC group (1.40±0.97) were significantly lower than those in the control group (3.00±0.82) (

Indexed as

AbdomenAnimalsBody WeightCellulose, OxidizedFemaleHyaluronic AcidPostoperative ComplicationsRatsRats, Sprague-DawleySodium ChlorideTissue AdhesionsCellulose, OxidizedHyaluronic AcidSodium Chlorideadhesion formationadhesion reformationhyaluronic acidoxidized regenerated celluloserat model

Identifiers

PMID27822014
PMCPMC5087760
OpenAlexW2533328989

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.