Blood Transfusion from Ever-Pregnant Females Associated with Mortality in Males
jamanetwork.com
jamanetwork.com
The reason this study was done because there has been a very well replicated association between the plasma (not red cells) donated from previously pregnant women and the risk of TRALI, a very rare but deadly transfusion reaction. After this association was made clear, blood banks no longer collect plasma from previously pregnant ("ever pregnant") women, and the overall rate of TRALI has dramatically dropped (from about 35 fatalities in the US per year to ~15).
Source: MD/lab medicine resident
Using a small sample exposed to the suspected risk and the vast majority not exposed sounds like responsible ethics.
It is not stated, but there should also have been additional safeguards and monitoring. It is normal for studies to be terminated early if they are found to expose participants to either too much danger or if the study group is found to be significantly advantaged (in which case, for example, the whole group is given the beneficial treatment instead of just the small study group).
50% may sound 'fair' or 'equal', but this is about researching ways of saving life, some social notion of fairness or gender equality is not relevant and, if this study is correct, could have caused excessive death. Is it worth people being killed to get the gender balance into the shape you prefer?
This is obviously a tough question to answer, and maybe the answer here is no. Further, I wouldn't say "worth people being killed" as much as I'd say it's "worth risking people dying". Obviously this is context sensitive and is different for each treatment and study.
Despite this, as the devils advocate, you could say that given that men and women can respond to different treatments in a range of ways, the ideal distribution would be diverse enough to accommodate for those differences, which would provide a better statistical subset and by extension producing "better" data. Same caveats apply, where you mentioned "too much danger" and if the study is "significantly advantaged". In short, it could be less about fairness (equity) or equality and more about collecting a broader or more diverse range of data.
Also for those who want to know https://en.wikipedia.org/wiki/Transfusion-related_acute_lung...
Definition of ever
1 :always; eg * ever striving to improve * the ever-increasing population 2a :at any time * more than ever before 2b :in any way * how can I ever thank you 3 —used as an intensive * looks ever so angry * am I ever happy to see you
That is true, but that's not evidence that "ever" can mean "in any way". "You can count on me" and "I won't let you down" are precisely equivalent at the full-sentence level, but there are no equivalences between the individual words (barring "you"/"you" and "I"/"me").
Evergreen trees are always green, so ever pregnant woman are...
Aren’t donations pooled? Can’t imagine this would leave very many pools without a single ever-pregnant donor.
Pooling is also done for blood testing they’ll pool samples from a batch together and if the pooled sample comes back positive they’ll discard the entire batch of part of it if subpooling was used.
Red blood cells doses come from a single donor.
I’m not sure about platelets.
Though searching suggests, no, they probably don't have that figure locked down.
not exactly the same, but in rats young blood makes older rats more healthy and the younger ones less so due to stem cells: https://www.nytimes.com/2014/05/05/science/young-blood-may-h...
(making the assumption more pregnancies = higher age)
However, as stated, these findings could be used to form hypothesis and then to study them. These findings are _not_ conclusions.
Of course, Randal Munroe says it better than I could: https://xkcd.com/882/
> further research is needed to replicate these findings, determine their significance, and define the underlying mechanism.
There is usually something discussing future research needs, but it's not always oriented toward “replicate and determine significance”.
Though something very much like the note on my this paper is common, for good reason, on papers reporting a novel, borderline significant association with no clear mechanism.
>> further research is needed to replicate these findings, determine their significance, and define the underlying mechanism.
To be fair, this is more or less "boiler-plate text" added at the end of every research paper, sometimes I would like to see a research paper that ends with "... and that's all about it".
That being said, if you have an improved version that fits, I'd be happy to support that.