Evidence map›Paper›PMID 36620506›Full record

ArticleHealth science reports2023

A cross-sectional study comparing the inflammatory profile of menstrual effluent vs. peripheral blood.

Sara Naseri, Yael Rosenberg-Hasson, Holden T Maecker, Maria I Avrutsky, Paul D Blumenthal

Abstract read
In one paragraph

Article in Health science reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Sara NaseriDepartment of Obstetrics and Gynecology Stanford University Stanford California USA.ORCID 0000-0002-9729-6893
Yael Rosenberg-HassonInstitute for Immunity, Transplantation, and Infection, Stanford University School of Medicine Stanford California USA.
Holden T MaeckerInstitute for Immunity, Transplantation, and Infection, Stanford University School of Medicine Stanford California USA.
Maria I AvrutskyQurasense Inc. Menlo Park California USA.ORCID 0000-0002-3477-0084
Paul D BlumenthalDepartment of Obstetrics and Gynecology Stanford University Stanford California USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Cytokine profiles of peripheral blood and other bodily fluids provide diagnostic indicators for assessing inflammatory processes. Menstrual effluent may provide a noninvasive source of biological material for monitoring cytokine levels in blood and in endometrial tissues. This pilot study investigated the potential of measuring cytokines in menstrual effluent, and compared the cytokine profiles of menstrual versus peripheral blood. Methods: Seven healthy donors (aged ≥18 and ≤45 years) collected menstrual effluent on day 2 of menses. Matched peripheral blood samples were collected by venous blood draw on the same day. Levels of 62 cytokines were measured in all samples by 62-plex Luminex assay. Results: Peripheral blood and menstrual effluent cytokine profiles were tenuously correlated ( Conclusion: In this group of study participants, the cytokine profile of menstrual effluent was quantitatively distinct from peripheral blood, and also characterized by higher levels of inflammatory signaling. This pattern of comparative menstrual blood cytokine profiles points to a need for further studies to evaluate the relationship between peripheral and menstrual blood cytokines in broader populations including both healthy and diseased states.

Indexed as

chemokinecytokineendometriosisendometriuminflammationmenstrual bloodTGF‐β

Identifiers

PMID36620506
PMCPMC9813904

What OpenQuestion holds

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Registered trials

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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.