Evidence map›Paper›PMID 38629105›Full record

ArticleFrontiers in chemistry2024

Efficacy and classification of

Sumbul, Arshiya Sultana, Md Belal Bin Heyat, Khaleequr Rahman, Faijan Akhtar, Saba Parveen, Mercedes Briones Urbano, Vivian Lipari, Isabel De la Torre Díez, Azmat Ali Khan and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
10.2field-weighted citation impact, top 2% 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, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

11 authors at 8 institutions in 4 countries.

Sumbul *Department of Ilmul Qabalat wa Amraze Niswan, National Institute of Unani Medicine, Ministry of AYUSH, Government of India, Bengaluru, Karnataka, India.
Arshiya Sultana *Department of Ilmul Qabalat wa Amraze Niswan, National Institute of Unani Medicine, Ministry of AYUSH, Government of India, Bengaluru, Karnataka, India.
Md Belal Bin Heyat *CenBRAIN Neurotech Center of Excellence, School of Engineering, Westlake University, Hangzhou, Zhejiang, China.
Khaleequr RahmanDepartment of Ilmul Saidla, National Institute of Unani Medicine, Ministry of AYUSH, Government of India, Bengaluru, Karnataka, India.
Faijan AkhtarSchool of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Saba ParveenCollege of Electronics and Information Engineering, Shenzhen University, Shenzhen, China.
Mercedes Briones UrbanoResearch Group on Foods, Nutritional Biochemistry and Health, Universidad Europea Del Atlántico, Santander, Spain.
Vivian LipariResearch Group on Foods, Nutritional Biochemistry and Health, Universidad Europea Del Atlántico, Santander, Spain.
Isabel De la Torre DíezDepartment of Signal Theory and Communications and Telemedicine Engineering, University of Valladolid, Valladolid, Spain.
Azmat Ali KhanPharmaceutical Biotechnology Laboratory, Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Abdul MalikDepartment of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
King Saud University · SAMinistry of AYUSH · INUniversidad Europea del Atlántico · ESGovernment of India · INShenzhen University · CNUniversidad de Valladolid · ESUniversity of Electronic Science and Technology of China · CNWestlake University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AI for medicinebotanical drugsdrug designfemale disorderherbal interventionmedical intelligencereproductive-age disorderunani medicine

Identifiers

PMID38629105
PMCPMC11018920
OpenAlexW4393443808

What OpenQuestion 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 OpenQuestion graph.