Evidence map›Paper›PMID 35651477›Full record

ReviewDrug design, development and therapy2022

Designing a Dual GLP-1R/GIPR Agonist from Tirzepatide: Comparing Residues Between Tirzepatide, GLP-1, and GIP.

Lijing Wang

Open access · goldAbstract readReview
In one paragraph

Review in Drug design, development and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
6.1field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Radiosynthesis and preclinical evaluation of [EJNMMI radiopharmacy and chemistry · 2026
    Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Polypharmacology: new drugs in 2023-2024.Pharmacological reports : PR · 2025
    Review
  10. Review
  11. Article
  12. Review
  13. The signaling pathways in obesity-related complications.Journal of cell communication and signaling · 2024
    Review
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. Review
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

1 author at 1 institution in 1 country.

Lijing WangCollege of Life Sciences and Technology, China Pharmaceutical University, Nanjing, Jiangsu, People's Republic of China.ORCID 0000-0001-5318-5107
China Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improving type 2 diabetes using incretin analogues is becoming increasingly plausible. Currently, tirzepatide is the most promising listed incretin analogue. Here, I briefly explain the evolution of drugs of this kind, analyze the residue discrepancies between tirzepatide and endogenous incretins, summarize some existing strategies for prolonging half-life, and present suggestions for future research, mainly involving biased functions. This review aims to present some useful information for designing a dual glucagon like peptide-1 receptor/glucose-dependent insulinotropic polypeptide receptor agonist.

Indexed as

Diabetes Mellitus, Type 2Glucagon-Like Peptide 1Gastric Inhibitory PolypeptideHumansIncretinsReceptors, Gastrointestinal HormoneReceptors, G-Protein-CoupledTirzepatideGastric Inhibitory Polypeptidegastric inhibitory polypeptide receptorGlucagon-Like Peptide 1IncretinsReceptors, Gastrointestinal HormoneReceptors, G-Protein-CoupledTirzepatideAibGIPGLP-1structure–activity relationshipstructure–function relationshiptirzepatide

Identifiers

PMID35651477
PMCPMC9149770
OpenAlexW4281388633

What OpenQuestion holds

Texttitle and abstract
LicenceCC BY-NC
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.