Evidence map›Paper›PMID 28881696›Full record

ArticleOncotarget2017

The effect of intraperitoneal chemotherapy on early pain hyperalgesia in patients following elective laparoscopic transabdominal resection of rectal cancer.

Min Liang, Chang-Ying Li, Chun-Guang Ren, Zong-Wang Zhang, Zhi-Jian Fu

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 89% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 3 institutions in 1 country.

Min LiangDepartment of Pain Management, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, P.R. China.
Chang-Ying LiDepartment of Anesthesiology, Liaocheng People's Hospital, Liaocheng, Shandong, P.R. China.
Chun-Guang RenDepartment of Anesthesiology, Liaocheng People's Hospital, Liaocheng, Shandong, P.R. China.
Zong-Wang ZhangDepartment of Anesthesiology, Liaocheng People's Hospital, Liaocheng, Shandong, P.R. China.
Zhi-Jian FuDepartment of Pain Management, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, Shandong, P.R. China.
Liaocheng People's Hospital · CNShandong Provincial Hospital · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChemotherapy has been associated with hyperalgesia. This prospective study was designed to investigate the effect of intraperitoneal chemotherapy with lobaplatin on post-operative pain intensity and sufentanil requirements after laparoscopic transabdominal resection of rectal cancer.

methodsEighty subjects (40 subjects treated with intraperitoneal chemotherapy and 40 subjects without chemotherapy treatment) scheduled for laparoscopic transabdominal resection of rectal cancer were included in this study. All subjects received standardized anesthetic and patient-controlled analgesia using sufentanil for 72 h post-surgery, as the only analgesics. Pain intensity scores, cumulative sufentanil requirements and side effects were recorded until 72 h post-surgery.

resultsFollowing intraperitoneal chemotherapy, patients had a significantly higher total post-operative sufentanil requirement (193 μg

conclusionIntraperitoneal chemotherapy is associated with significantly increased post-operative sufentanil requirements and pain intensity, suggesting chemotherapy-associated hyperalgesia.

Indexed as

chemotherapycolorectal cancerhyperalgesialobaplatinsufentanil

Identifiers

PMID28881696
PMCPMC5584297
OpenAlexW2624264600

What OpenQuestion holds

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LicenceCC BY
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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.