Evidence map›Paper›PMID 27110265›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2016

A Chinese Herbal Decoction, Huoxue Qingyi Decoction, Promotes Rehabilitation of Patients with Severe Acute Pancreatitis: A Retrospective Study.

Chao Hui Ji, Cheng Wu Tang, Wen Ming Feng, Ying Bao, Li Qin Yao

Abstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

5 authors.

Chao Hui JiDepartment of Emergency Intensive Care Unit, First People's Hospital Affiliated to Huzhou University Medical College, Huzhou, Zhejiang 313000, China.
Cheng Wu TangDepartment of General Surgery, First People's Hospital Affiliated to Huzhou University Medical College, Huzhou, Zhejiang 313000, China.
Wen Ming FengDepartment of General Surgery, First People's Hospital Affiliated to Huzhou University Medical College, Huzhou, Zhejiang 313000, China.
Ying BaoDepartment of General Surgery, First People's Hospital Affiliated to Huzhou University Medical College, Huzhou, Zhejiang 313000, China.
Li Qin YaoDepartment of General Surgery, First People's Hospital Affiliated to Huzhou University Medical College, Huzhou, Zhejiang 313000, China.ORCID 0000-0002-2267-4992

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute pancreatitis (SAP) still remains an important surgical problem with high morbidity and mortality. The utilization of Traditional Chinese Medicine shows good prospects in therapy of SAP since it has advantages of more extensive pharmacological effects and fewer adverse effects. In this retrospective study, 38 patients received standardized treatment (control group) and 37 patients received Chinese herbal decoction, Huoxue Qingyi Decoction (HQD group), in addition to standard treatment for SAP. We found that the HQD group had a shorter hospital stay and lower initial expense than the control group (P < 0.05). The duration of hyperamylasemia and systemic inflammatory response syndrome (SIRS) were significantly shorter in HQD group (P < 0.05). The percentage of patients having any complication was much lower in HQD group than control group (27/38 versus 17/37, P < 0.05), especially pancreatic pseudocyst (10/38 versus 2/37, P < 0.05). No adverse effect induced by HQD was found. We concluded that the HQD was effective, safe, and economic for reduction of complication, for early recovery from systemic inflammation, and for promoting earlier rehabilitation from SAP.

Identifiers

PMID27110265
PMCPMC4823485

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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.