CoChat
Sign Up
Cited by 15

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Susceptibility-Related Cytokine Panel for Prediction of Polygonum multiflorum-Induced Hepatotoxicity in Humans

Tu, Can, Niu, Ming, Wei, Ai-Wu, Tang, Jin-Fa, Zhang, Le, Jing, Jing, Xiao, Xiao-He, Wang, Jia-Bo·2021·Journal of Inflammation Research
DOI 10.2147/jir.s299892PMC PMC7939510
Open this paper in CoChat — free account

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2147/jir.s299892

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Several potential biomarkers associated with the risk of liver injury caused by specific drugs or herbal medicines have been reported, such as HLA-B*35:01, immune factors, and metabolic markers that may be associated with the risk of Polygonum multiflorum-induced liver injury.

    “several potential biomarkers associated with the risk of liver injury caused by specific drugs or HMs have been reported, such as HLA-B*35:01, immune factors, and metabolic markers that may be associated with the risk of Polygonum multiflorum-induced liver injury [178][179][180].”

    From Chinese guideline for the diagnosis and treatment of drug-induced liver injury: an update (2024) · cites this paper as [179]

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 29

  1. Navarro, 2006, N Engl J Med, 354, 731, 10.1056/NEJMra052270 · DOI · Paper page
  2. Chalasani, 2014, Am J Gastroenterol, 109, 10.1038/ajg.2014.131 · DOI · Paper page
  3. Chen, 2015, J Hepatol, 63, 503, 10.1016/j.jhep.2015.04.016 · DOI
  4. Björnsson, 2010, Aliment Pharmacol Ther, 32, 3, 10.1111/j.1365-2036.2010.04320.x · DOI · Paper page
  5. Urban, 2017, J Hepatol, 67, 137, 10.1016/j.jhep.2017.03.010 · DOI · Paper page
  6. Nicoletti, 2016, Pharmacogenet Genomics, 26, 218, 10.1097/FPC.0000000000000209 · DOI
  7. Daly, 2009, Nat Genet, 41, 816, 10.1038/ng.379 · DOI
  8. Aithal, 2004, Hepatology, 39, 1430, 10.1002/hep.20205 · DOI
  9. Kobayashi, 2009, Toxicol Sci, 111, 302, 10.1093/toxsci/kfp165 · DOI
  10. Kobayashi, 2010, Toxicology, 275, 50, 10.1016/j.tox.2010.05.011 · DOI
  11. Higuchi, 2011, Toxicol Lett, 200, 139, 10.1016/j.toxlet.2010.11.006 · DOI
  12. Kobayashi, 2012, J Appl Toxicol, 32, 823, 10.1002/jat.2731 · DOI
  13. Poulsen, 2014, J Pharmacol Exp Ther, 350, 164, 10.1124/jpet.114.214189 · DOI
  14. Roth, 2017, J Pharmacol Exp Ther, 360, 461, 10.1124/jpet.116.237578 · DOI
  15. Roth, 2011, Crit Rev Toxicol, 41, 723, 10.3109/10408444.2011.575765 · DOI
  16. Jennings, 2019, Expert Opin Drug Metab Toxicol, 15, 231, 10.1080/17425255.2019.1574744 · DOI
  17. Wang, 2015, Front Med, 9, 457, 10.1007/s11684-015-0417-8 · DOI · Paper page
  18. Tu, 2019, Front Pharmacol, 10, 335, 10.3389/fphar.2019.00335 · DOI
  19. He, 2017, Sci Bull, 62, 748, 10.1016/j.scib.2017.04.020 · DOI
  20. Yang, 2020, World J Gastroenterol, 26, 1329, 10.3748/wjg.v26.i12.1329 · DOI
  21. Li, 2019, Hepatology, 70, 346, 10.1002/hep.30660 · DOI · Paper page
  22. Xiao, 2016, Zhongguo Zhong Yao Za Zhi, 07, 1165
  23. Zhang, 2020, Arch Toxicol, 94, 245, 10.1007/s00204-019-02595-3 · DOI · Paper page
  24. Meng, 2017, Acta Pharmacol Sin, 38, 1340, 10.1038/aps.2017.32 · DOI
  25. Li, 2017, Chin J Integr Med, 23, 625, 10.1007/s11655-017-2543-9 · DOI · Paper page
  26. Li, 2017, Front Med, 11, 253, 10.1007/s11684-017-0508-9 · DOI
  27. Dambach, 2006, Toxicol Appl Pharmacol, 211, 157, 10.1016/j.taap.2005.06.024 · DOI
  28. Dong, 2007, Hepatology, 45, 1400, 10.1002/hep.21597 · DOI
  29. Brooling, 2005, Hepatology, 41, 906, 10.1002/hep.20645 · DOI

Cited by

Sorted by citations

Metadata

Authors
Tu, C., Niu, M., Wei, A.-W., Tang, J.-F., Zhang, L., Jing, J., Xiao, X.-H., & Wang, J.-B.
Venue
Journal of Inflammation Research
Publisher
Informa UK Limited
Published
2021-03
Volume
Volume 14
Pages
645-655
ISSN
1178-7031
DOI
10.2147/jir.s299892
PMC
PMC7939510
Cited by
15
References
2
Language
en
Licence
creativecommons.org/licenses/by-nc/3.0/ (unspecified)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review