Every letter we have printed

On the archive point: a public record of submissions by vendor would be gamed within a month. Vendors would submit under the names of resellers, or through intermediaries, and the archive would show a distribution as selected as the current one but with a veneer of completeness.

VendorInvestigate does not measure anything and you have grouped it with three laboratories under the heading independent testing. That is exactly the conflation your article says the market makes.

Small correction to your table: the S-LiTE exercise prescription was two supervised group sessions and two individual sessions weekly, not two sessions in total. The distinction matters because "add some exercise" is not what was tested.

I am sixty-eight, I have lost nineteen kilograms over fourteen months, and my consultant has twice told me my lean mass is fine on the basis of a handheld bioimpedance device in the clinic corridor. Having read your piece on what that device measures, I am no longer sure what I have been reassured about.

You report the STEP 1 nausea figure as approximately forty-four per cent. The publication gives 44.2 per cent. Given how much of your argument rests on precision about what these numbers mean, the rounding sits oddly.

I stopped at week six because I could not keep anything down for three days, and my prescriber told me I had not given it a fair chance. Reading your definition of dose-limiting, I think what happened was that nobody offered me the option of going back to the lower dose. It was escalate or stop.

Your figures show diarrhoea at thirty-two per cent and constipation at twenty-three per cent in the same trial arm. I assumed one of these was an error until your mechanism section. It would be worth putting that explanation before the table rather than after it.

You describe reused chromatogram images as a tell. I work in a contract laboratory and I would note that some data systems export a representative overlay rather than the individual injection, so identical-looking traces can occur legitimately across a batch series. It is still worth asking about; it is not the smoking gun your article implies.

Your ten-minute check told me in about ninety seconds that the batch number on my certificate appears nowhere on the vial. I wrote to the supplier and had a straightforward answer within a day: the certificate covers the bulk lot and the vial carries a fill code. I would never have known to ask.

I have a certificate with an expiry date twenty-four months from manufacture and no stability data behind it, which your article says is a claim the documentation cannot support. The supplier tells me it is industry standard. Is it?

On the accreditation-scope point: most private buyers will not know which accreditation body to search. It would be more useful to publish the four or five registers that cover the laboratories this market actually uses than to tell readers the registers exist.

I have read your protein tables twice and I still cannot work out what I should eat. I appreciate that this is the honest position but it is not a useful one for a person in a supermarket.

Three vendors have now sent me marketing material claiming their product preserves lean mass during GLP-1 treatment, two of them citing your publication as a source for the underlying composition figures. You may want to know that.

I am sixty-eight, I have lost nineteen kilograms over fourteen months, and my consultant has twice told me my lean mass is fine on the basis of a handheld bioimpedance device in the clinic corridor. Having read your piece on what that device measures, I am no longer sure what I have been reassured about.

As a prescribing pharmacist I would add one thing about re-titration. The commonest problem I see is not the resumption dose. It is that the patient has a pen left over at the old strength and uses it because it is in the fridge and it cost money. The clinical decision and the economic decision are not the same decision.

Your residual-exposure table gives six per cent after four weeks. I calculate 6.25 per cent, which is a quibble, but the larger point is that it assumes steady state at the moment of interruption. Someone who stops three weeks into a new rung has less on board than your table implies.

Your incidence tables are from the licensed products. I use compounded material at a concentration that does not match any pen. Are the figures transferable at all?

You give the reference change value for ALT as about sixty per cent, which strikes me as so large as to make routine monitoring of it pointless. Is that your position?

As a biomedical scientist I would add one point to your reference-interval section: many laboratories do not derive their own intervals at all. They adopt the manufacturer interval for the platform, which was established in a population that may have nothing to do with the one being tested. The interval on the report can be a document about a different country.

I stopped treatment fifteen weeks ago and my panel is worse than I expected. I had a panel at five weeks that looked fine and I had assumed I had escaped. Your point about the twelve-week timing was the explanation nobody offered me.

My eGFR has risen from 71 to 84 over fourteen months of treatment and I have lost twenty-six kilograms. My prescriber described this as the drug protecting my kidneys. Having read your creatinine section, I suspect it is mostly that I have less muscle. Which of us is right?

You put every documentary finding to the company before publication, which is admirable and also means you are letting companies that do not reply escape coverage entirely. Silence should have a cost.

A technical query on your identity row: you specify 4111.1 Da monoisotopic with a tolerance of ±10 ppm, which is 0.04 daltons. Is that not tighter than most contract laboratories will commit to on a peptide of that size?

Thank you for saying plainly that the maximum dose is not the goal. I stopped at 10 mg fourteen months ago because it was working and I was tired of arguing about it. Every article I read before yours implied I had given up early.

I take this for kidney disease, not for weight. Every piece of writing I encounter about stopping is about the weight coming back. It has taken me a year to find anybody willing to say plainly that the renal benefit accrued over years of treatment and nobody has tested what happens if I stop.

The claim that stopping does not leave you worse off than baseline is a group-level claim about trial arms. Individuals can and do overshoot. Your phrasing invites readers to conclude otherwise.

Three months after stopping, my HbA1c had barely moved and I concluded I had got away with it. Six months after stopping, it was back where it started. Your point about the lag is the single most useful sentence I have read on this subject.

Your fortnightly arithmetic table is correct but I think it understates the practical point. A fourfold peak-to-trough swing is not merely lower average exposure; it is a different drug experience, with the last few days of each cycle spent at a concentration the person has effectively titrated off.

On the archive point: a public record of submissions by vendor would be gamed within a month. Vendors would submit under the names of resellers, or through intermediaries, and the archive would show a distribution as selected as the current one but with a veneer of completeness.

VendorInvestigate does not measure anything and you have grouped it with three laboratories under the heading independent testing. That is exactly the conflation your article says the market makes.

Your selection-effect model assumes a supplier publishes results above a fixed threshold. Real behaviour is surely more complicated: a supplier might publish a poor result on a batch it has withdrawn, or publish everything for a period to establish credibility and then stop. The arithmetic is fine and the behavioural assumption is a cartoon.

As a buyer I found the section on who chose the vial genuinely clarifying and slightly deflating. I have been treating vendor-published reports as equivalent to my own submissions for two years, and on your account they are not equivalent by an amount that cannot be measured.

Your fortnightly arithmetic table is correct but I think it understates the practical point. A fourfold peak-to-trough swing is not merely lower average exposure; it is a different drug experience, with the last few days of each cycle spent at a concentration the person has effectively titrated off.

Three months after stopping, my HbA1c had barely moved and I concluded I had got away with it. Six months after stopping, it was back where it started. Your point about the lag is the single most useful sentence I have read on this subject.

You describe the maintenance strategy of stepping down one dose and holding for eight to twelve weeks as something clinicians report doing, and then say it is not a recommendation. That distinction will be lost on most readers, and printing the protocol makes you a source for it whether you intend to be or not.

I run analytical services and I object to the framing of your blind comparison. You bought our cheapest tier, published the number it produced alongside a competitor’s most thorough package, and called the result a spread. It is not a spread. It is three different products, priced accordingly, and your own table says so two columns to the right of the headline figure.

I found the section on the area postrema genuinely clarifying. I had assumed nausea was a stomach problem and had been treating it as one, unsuccessfully, for four months.

You describe biased agonism as "legitimate and probably important" and then decline to say which molecules are biased in which direction. That is a strange place to stop.

As a community pharmacist I would add one thing to your section on missed doses: the label window matters less than whether the patient then double-doses to "catch up". I have seen that twice this year and both times the patient believed they were following instructions.

Parcel 7 reached thirty-eight degrees for nearly four hours and you then tell readers not to worry unduly. I accept the solid-state argument. I would still like to know what the material looked like on analysis, and your article does not say.