Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 415

The DOI matches its Crossref record.

A Rapid, Simple, Sensitive Method for Measuring Fibrinolytic Split Products in Human Serum

Merskey, C., Lalezari, P., Johnson, A. J.·1969·Experimental Biology and Medicine

Abstract

A simplified procedure for recognizing and quantitating fibrinolytic split products has been described. It utilizes human group O cells which can be sensitized and stored at 4° for 3 weeks and at ‐20° for many months prior to use. It is very sensitive, detecting 1.0 μg/ml of fibrinogen or split products. Application of the test to the Microtiter and Autotiter systems permits assay of many samples at once. Only 1 hr is required to complete the test and read the results. The interpretation of the quantitative assay result should be carefully made since, while fibrin split products are not absorbed from the sera during the preparation of the sample and are relatively accurately measured, fibrinogen split products tend to be absorbed during sample preparation and are thus less accurately measured. The test would appear to be more useful with fibrin lysis than with fibrinogen lysis and to be especially applicable in the diagnosis of defibrination syndrome.

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 · 10.3181/00379727-131-33998

Cites

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

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

Cited by

See all 415

Metadata

Authors
Merskey, C., Lalezari, P., & Johnson, A. J.
Venue
Experimental Biology and Medicine
Published
1969-07-01
Volume
131
Issue
3
Pages
871-875
ISSN
  • 0071-3384 (ISSN-L)
  • 1535-3702
  • 1535-3699
OpenAlex
W2333867246
Cited by
415
References
0
FWCI
96.89
Type
journal article
Language
en
Open access
closed

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: A Rapid, Simple, Sensitive Method for Measuring Fibrinolytic Split Products in Human Serum. https://app.cochat.ai/papers/10.3181/00379727-131-33998
The paper
Merskey, C., Lalezari, P., & Johnson, A. J. (1969). A Rapid, Simple, Sensitive Method for Measuring Fibrinolytic Split Products in Human Serum. Experimental Biology and Medicine. https://doi.org/10.3181/00379727-131-33998

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.