Cecile Janssens Profile picture
Jul 30, 2019 9 tweets 4 min read Read on X
A new Dutch study claims the survival benefits of mastectomy for BRCA carriers are minimal: carriers who had not undergone mastectomy developed breast cancer (BC) more often, but mostly didn’t die from it.
I’m not convinced.
(thread)
link.springer.com/epdf/10.1007/s…
The results follow from a survival analysis, which seem to suggest that a group of young women was followed for 45 years, except that the numbers of women contributing data at each age in each group (under x-axis) were small and went up and down.
This hints that the graphs are a ‘compilation’, which is true: the average age at study entry was approx 40yrs and women were followed for approx 10yrs, not for 45yrs. Hence the small numbers at (lower and) higher ages. This hints to a potential problem: survivor bias.
Only women who had no history of cancer were eligible. This means that, at higher ages, this included women who did not get cancer before. These women may be healthier than average, their prognosis may be better, suggesting the survival may be overestimated (looking too good).
Excluding people who already had the disease is often justified to make sure that a risk factor precedes the onset of disease. But BRCA mutations precede by definition. The date of the DNA test does not change the mutation status. Why then excluding women with BC?
The authors’ concern is testing bias. Women opt DNA tests to decide about surgery. Women who had BC before DNA testing could not make that decision and are, not by choice, in the surveillance group. Also in the surveillance group are carriers who did not get tested (yellow).
This study only looks at carriers. The BC risk in the surveillance group would be underestimated (looking worse) if the carriers who get tested after their diagnosis are included, but the unknown untested carriers cannot be considered in this study.
To minimize the risk of this testing bias, the authors took the date of DNA test as study baseline and excluded all women who developed BC before DNA testing. Doing so, they excluded 1,994 carriers who developed cancer, leaving only 420 women with BC in the study.
And that is likely the reason why the survival looks so favorable: most carriers who developed BC were excluded from the study.
Testing bias is real, but so are other biases. Bias should be rigorously inspected before attempting to get rid of it.
/end

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with Cecile Janssens

Cecile Janssens Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

More from @cecilejanssens

Aug 13, 2021
Children born during pandemic have lower IQs
"according to the analysis, which is yet to be peer-reviewed."

I'm not sure that's what the study found. Let's do some peer review:
1/

theguardian.com/world/2021/aug… @NatalieGrover
As you would have guessed, the study did not measure IQ in the babies. It measured early learning, verbal and non-verbal development.

This is not my field, but call me skeptic that this can be assessed *reliably* in babies <1 year old. What did you do in your first year?
A big red flag: the scientific article gives no details about the babies and the measurements. Who were they? Why were they eligible for the study? How were they selected? Were they randomly invited? Did parents sign them up? How were they tested?
Read 8 tweets
Apr 19, 2021
Ik heb de rapporten van het Fieldlab onderzoek doorgenomen. Een verontrustend draadje over bladzijde 11 van "Bijlage 5: Resultaten risico analyse" Image
Of evenementen al dan niet veilig zijn en zo ja onder welke voorwaarden wordt in dit onderzoek bepaald met een risicomodel. Dat is een gebruikelijke methode, maar er zitten haken en ogen aan.
Elk model is een versimpeling van de werkelijkheid die je in staat stelt om voorspellingen te doen. Bv, met een model kun je uitrekenen wat je netto gaat verdienen als je het brutobedrag weet.

Of de voorspelling uitkomt, en het model correct is, hangt af van 2 voorwaarden: ... Image
Read 9 tweets
Apr 4, 2021
Korte uitleg bij mijn column: waarom is het zo’n probleem wanneer deelnemers zichzelf voor onderzoek kunnen aanmelden?
1/

nrc.nl/nieuws/2021/04…
In enquete-onderzoek wil je dat deelnemers een afspiegeling zijn van de *doelpopulatie*, bv alle Nederlanders. *Alleen* als die afspiegeling *representatief* is gelden de resultaten van het onderzoek voor de hele doelpopulatie.
Een representatieve afspiegeling bereik je door deelnemers willekeurig uit te nodigen en te zorgen dat of iedereen meedoet of dat niet-deelname ook willekeurig is, dwz ongerelateerd aan deelnemer-kenmerken of voorkeuren.
Read 9 tweets
Feb 28, 2021
Ik schreef dit weekend een column over slechte wetenschap met daarin een nauwelijks-te-geloven voorbeeld over een index. Hier is een toelichting op de index met wat bronnen.
@nrc @nrcwetenschap
nrc.nl/nieuws/2021/02…
Hier is een oud draadje waarin ik de index uitleg en toelicht wat er mis is:
Mijn uitleg is zo simpel dat je 'm haast niet zou geloven. Hier zijn wat analyses van statistici:
ncbi.nlm.nih.gov/pmc/articles/P… (Pepe, Stat Biosci)
pubmed.ncbi.nlm.nih.gov/23553436/ (Hilden, Stat Med)
ncbi.nlm.nih.gov/pmc/articles/P… (Kerr, Epidemiology)

Lastige artikelen, maar heldere titels:
Read 9 tweets
Sep 30, 2020
Is searching scientific literature the most undervalued aspect of scientific research or is that my impression only?

I gave a lecture to our epi students on how to search literature for their theses.

Here's the essence, incl, I'm biased, how @CoCites makes searching easier.

1/ Image
Everyone who wants to do science needs to find out
- what the state of the art is on their topic, and
- how you set up a study that can move the science forward.
It's not 'any study will do'. Image
You will need that background research not only for the introduction of your thesis/paper, but for all of it. Doing science is more than running a data analysis ... Image
Read 18 tweets
Sep 21, 2020
@mauricedehond claimt dat het virus zich voornamelijk verspreidt via inhalering van airborne druppels, waarmee hij lijkt te doelen op aerosols.

De CDC tekst is verwarrend, maar betekent niet wat De Hond denkt.

Hier een overzicht van eerdere versies van de website.

1/
Het gaat om deze pagina van het CDC: cdc.gov/coronavirus/20…

In de versie van 28 maart was de verspreiding "mainly from person-to-person" en landde de virusdroplet nog op de mond of neus. (bron: Wayback Machine Internet Archive) Image
Maar ook toen werd al gedacht aan verspreiding via mensen die geen symptomen hadden, of via het aanraken van besmette oppervlakten of objecten. Dat waren echter niet "not thought to be the main way the virus spreads". Image
Read 7 tweets

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

:(