Evidence map›Paper›PMID 35295203›Full record

Trial reportComputational and mathematical methods in medicine2022

Reconstruction Algorithm-Based Computed Tomography Image Feature for Evaluating the Effect of Internal Administration and Medicated Bath of Liangxue Xiaoyin Decoction on Psoriasis Vulgaris.

Fang Zhang, Jili Zou, Dandan Huang

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Computational and mathematical methods in medicine, 2022. 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
0.2field-weighted citation impact, top 56% 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, 2 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

3 authors at 2 institutions in 1 country.

Fang ZhangDepartment of Chinese Medicine, Hubei College of Chinese Medicine, Jingzhou, 434020 Hubei, China.ORCID https://orcid.org/0000-0002-6674-5262
Jili ZouDepartment of Pharmacy, Wuhan Third Hospital, Wuhan, 430060 Hubei, China.ORCID https://orcid.org/0000-0002-3534-9128
Dandan HuangDepartment of Chinese Medicine, Hubei Institute for Drug Control, Wuhan, 430075 Hubei, China.ORCID https://orcid.org/0000-0002-5200-2468
Hubei University of Chinese Medicine · CNWuhan Third Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skin computed tomography (CT) image based on improved marching cubes (MC) algorithm was explored to evaluate the therapeutic effect of internal administration of Liangxue Xiaoyin decoction combined with medicated bath in the treatment of psoriasis vulgaris. 712 patients with psoriasis vulgaris blood heat syndrome in hospital were recruited as the research object, which were randomly divided into observation group (TCM oral therapy combined with medicinal bath) and control group (TCM oral therapy), each with 356 cases. Psoriasis area and severity index (PASI), pruritus degree, and clinical treatment effect were compared. The results showed that the reconstruction time of median method was greatly shorter, and the algorithm efficiency was improved by 40.6290%. After treatment, the psoriasis area and severity index (PASI) score of the observation group was 5.61 ± 1.15, ΔPASI = (22.64 ± 2.15). ΔPASI% = 80.14%, which were greatly higher than the control group ((9.41 + 1.56) points, ΔPASI = (18.84 + 1.65) points, ΔPASI% = 66.69%) (

Indexed as

PhytotherapyAdolescentAdultAgedAlgorithmsBathsComputational BiologyDrugs, Chinese HerbalFemaleHumansMaleMiddle AgedPsoriasisRadiographic Image Interpretation, Computer-AssistedSeverity of Illness IndexTherapeutic UsesDrugs, Chinese HerbalTherapeutic Usesxiaoyin

Identifiers

PMID35295203
PMCPMC8920621
OpenAlexW4221127942

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.