Evidence map›Paper›PMID 41154281›Full record

ReviewHealthcare (Basel, Switzerland)2025

Endotoxin Activity Assay-Guided Patient Selection for Polymyxin B Hemoperfusion: Lessons from the TIGRIS Trial and Future Directions.

Toshiaki Iba, Hideshi Okada, Takahiro Miki, Michio Mineshima, Isao Nagaoka

Abstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Toshiaki IbaFaculty of Medical Science, Juntendo University, Urayasu 279-0013, Japan.ORCID 0000-0002-0255-4088
Hideshi OkadaDepartment of Emergency and Disaster Medicine, Gifu University Graduate School of Medicine, Gifu 501-1113, Japan.
Takahiro MikiDepartment of Clinical Engineer, Nihon University School of Medicine, Tokyo 173-8610, Japan.
Michio MineshimaFaculty of Medical Science, Juntendo University, Urayasu 279-0013, Japan.
Isao NagaokaFaculty of Medical Science, Juntendo University, Urayasu 279-0013, Japan.ORCID 0000-0003-0824-7406

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis and septic shock remain leading global causes of mortality, with endotoxin from Gram-negative bacteria playing a central role in their pathophysiology. Polymyxin B hemoperfusion (PMX-HP) was developed as an adjunctive therapy to directly remove circulating endotoxin in patients with sepsis and septic shock. Early clinical trials yielded conflicting results, largely due to challenges in patient selection. The endotoxin activity assay (EAA) has been investigated as a biomarker to identify patients most likely to benefit, but its limitations include indirect measurement, variability, and poor specificity. The recently completed TIGRIS trial, which enrolled septic shock patients with intermediate EAA values (0.60-0.89) and high organ dysfunction, demonstrated a significant survival benefit, thereby validating a targeted, precision medicine approach. This review critically appraises the role of EAA in guiding PMX-HP, highlights the lessons learned from the TIGRIS trial, and discusses complementary strategies such as integrating additional biomarkers, organ dysfunction scoring, and clinical phenotyping. Future research should embed EAA within multi-dimensional frameworks to optimize patient selection and establish PMX-HP as a precision therapy for endotoxemic sepsis and septic shock.

Indexed as

endotoxinendotoxin activity assaypolymyxin B hemoperfusionsepsisshock

Identifiers

PMID41154281
PMCPMC12562537

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.