Evidence map›Paper›PMID 36558015›Full record

ReviewMolecules (Basel, Switzerland)2022

Phytochemical Profiling, Isolation, and Pharmacological Applications of Bioactive Compounds from Insects of the Family Blattidae Together with Related Drug Development.

Siwei Liang, Yifan Zhang, Jing Li, Shun Yao

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Active ingredients isolated fromFrontiers in pharmacology · 2025
    Article
  2. Article
  3. Review
  4. Article
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.

Siwei LiangSchool of Chemical Engineering, Sichuan University, Chengdu 610065, China.
Yifan ZhangSchool of Life Sciences, Sichuan University, Chengdu 621065, China.
Jing LiSchool of Life Sciences, Sichuan University, Chengdu 621065, China.ORCID 0000-0002-3242-4495
Shun YaoSchool of Chemical Engineering, Sichuan University, Chengdu 610065, China.ORCID 0000-0002-0250-1656

Funding

Gooddoctor Pharmaceutical Group, Sichuan, China No.18H1086
6 · The paper itself

Abstract

In traditional Chinese medicine (TCM), insects from the family Blattidae have a long history of application, and their related active compounds have excellent pharmacological properties, making them a prominent concern with significant potential for medicinal and healthcare purposes. However, the medicinal potential of the family Blattidae has not been fully exploited, and many problems must be resolved urgently. Therefore, a comprehensive review of its chemical composition, pharmacological activities, current research status, and existing problems is necessary. In order to make the review clearer and more systematic, all the contents were independently elaborated and summarized in a certain sequence. Each part started with introducing the current situation or a framework and then was illustrated with concrete examples. Several pertinent conclusions and outlooks were provided after discussing relevant key issues that emerged in each section. This review focuses on analyzing the current studies and utilization of medicinal insects in the family Blattidae, which is expected to provide meaningful and valuable relevant information for researchers, thereby promoting further exploration and development of lead compounds or bioactive fractions for new drugs from the insects.

Indexed as

CockroachesAnimalsDrug DevelopmentEthnopharmacologyInsectaMedicine, Chinese TraditionalPhytochemicalsPhytochemicalsbioactivitiesdrug developmentfamily Blattidaeidentificationisolationphytochemical profiling

Identifiers

PMID36558015
PMCPMC9782659

What OpenQuestion holds

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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.